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Journal articles on the topic 'Unmanned aerial vehicle'
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1
Oktay, Tugrul, Harun Celik, and Ilke Turkmen. "Maximizing autonomous performance of fixed-wing unmanned aerial vehicle to reduce motion blur in taken images." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 232, no. 7 (March 28, 2018): 857–68. http://dx.doi.org/10.1177/0959651818765027.
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In this study, reducing motion blur in images taken by our unmanned aerial vehicle is investigated. Since shakes of unmanned aerial vehicle cause motion blur in taken images, autonomous performance of our unmanned aerial vehicle is maximized to prevent it from shakes. In order to maximize autonomous performance of unmanned aerial vehicle (i.e. to reduce motion blur), initially, camera mounted unmanned aerial vehicle dynamics are obtained. Then, optimum location of unmanned aerial vehicle camera is estimated by considering unmanned aerial vehicle dynamics and autopilot parameters. After improving unmanned aerial vehicle by optimum camera location, dynamics and controller parameters, it is called as improved autonomous controlled unmanned aerial vehicle. Also, unmanned aerial vehicle with camera fixed at the closest point to center of gravity is called as standard autonomous controlled unmanned aerial vehicle. Both improved autonomous controlled and standard autonomous controlled unmanned aerial vehicles are performed in real time flights, and approximately same trajectories are tracked. In order to compare performance of improved autonomous controlled and standard autonomous controlled unmanned aerial vehicles in reducing motion blur, a motion blur kernel model which is derived using recorded roll, pitch and yaw angles of unmanned aerial vehicle is improved. Finally, taken images are simulated to examine effect of unmanned aerial vehicle shakes. In comparison with standard autonomous controlled flight, important improvements on reducing motion blur are demonstrated by improved autonomous controlled unmanned aerial vehicle.
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Wang, Bo Hang, Dao Bo Wang, Zain Anwar Ali, Bai Ting Ting, and Hao Wang. "An overview of various kinds of wind effects on unmanned aerial vehicle." Measurement and Control 52, no. 7-8 (May 13, 2019): 731–39. http://dx.doi.org/10.1177/0020294019847688.
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Attitude, speed, and position of unmanned aerial vehicles are susceptible to wind disturbance. The types, characteristics, and mathematical models of the wind, which have great influence on unmanned aerial vehicle in the low-altitude environment, are summarized, including the constant wind, turbulent flow, many kinds of wind shear, and the propeller vortex. Combined with the mathematical model of the unmanned aerial vehicle, the mechanism of unmanned aerial vehicle movement in the wind field is illustrated from three different kinds of viewpoints including velocity viewpoint, force viewpoint, and energy viewpoint. Some simulation tests have been implemented to show the effects of different kinds of wind on unmanned aerial vehicle’s path and flight states. Finally, some proposals are presented to tell reader in which condition, which wind model should be added to simulation, and how to enhance the stability of unmanned aerial vehicle for different kinds of wind fields.
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Ju, Chanyoung, and Hyoung Il Son. "A distributed swarm control for an agricultural multiple unmanned aerial vehicle system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 233, no. 10 (February 21, 2019): 1298–308. http://dx.doi.org/10.1177/0959651819828460.
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In this study, we propose a distributed swarm control algorithm for an agricultural multiple unmanned aerial vehicle system that enables a single operator to remotely control a multi-unmanned aerial vehicle system. The system has two control layers that consist of a teleoperation layer through which the operator inputs teleoperation commands via a haptic device and an unmanned aerial vehicle control layer through which the motion of unmanned aerial vehicles is controlled by a distributed swarm control algorithm. In the teleoperation layer, the operator controls the desired velocity of the unmanned aerial vehicle by manipulating the haptic device and simultaneously receives the haptic feedback. In the unmanned aerial vehicle control layer, the distributed swarm control consists of the following three control inputs: (1) velocity control of the unmanned aerial vehicle by a teleoperation command, (2) formation control to obtain the desired formation, and (3) collision avoidance control to avoid obstacles. The three controls are input to each unmanned aerial vehicle for the distributed system. The proposed algorithm is implemented in the dynamic simulator using robot operating system and Gazebo, and experimental results using four quadrotor-type unmanned aerial vehicles are presented to evaluate and verify the algorithm.
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Real, Fran, Arturo Torres-González, Pablo Ramón-Soria, Jesús Capitán, and Aníbal Ollero. "Unmanned aerial vehicle abstraction layer: An abstraction layer to operate unmanned aerial vehicles." International Journal of Advanced Robotic Systems 17, no. 4 (July 1, 2020): 172988142092501. http://dx.doi.org/10.1177/1729881420925011.
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This article presents a software layer to abstract users of unmanned aerial vehicles from the specific hardware of the platform and the autopilot interfaces. The main objective of our unmanned aerial vehicle abstraction layer (UAL) is to simplify the development and testing of higher-level algorithms in aerial robotics by trying to standardize and simplify the interfaces with the unmanned aerial vehicles. Unmanned aerial vehicle abstraction layer supports operation with PX4 and DJI autopilots (among others), which are current leading manufacturers. Besides, unmanned aerial vehicle abstraction layer can work seamlessly with simulated or real platforms and it provides calls to issue standard commands such as taking off, landing or pose, and velocity controls. Even though unmanned aerial vehicle abstraction layer is under continuous development, a stable version is available for public use. We showcase the use of unmanned aerial vehicle abstraction layer with a set of applications coming from several European research projects, where different academic and industrial entities have adopted unmanned aerial vehicle abstraction layer as a common development framework.
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Xu, Linxing, and Yang Li. "Distributed Robust Formation Tracking Control for Quadrotor UAVs with Unknown Parameters and Uncertain Disturbances." Aerospace 10, no. 10 (September 28, 2023): 845. http://dx.doi.org/10.3390/aerospace10100845.
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In this paper, the distributed formation tracking control problem of quadrotor unmanned aerial vehicles is considered. Adaptive backstepping inherently accommodates model uncertainties and external disturbances, making it a robust choice for the dynamic and unpredictable environments in which unmanned aerial vehicles operate. This paper designs a formation flight control scheme for quadrotor unmanned aerial vehicles based on adaptive backstepping technology. The proposed control scheme is divided into two parts. For the position subsystem, a distributed robust formation tracking control scheme is developed to achieve formation flight of quadrotor unmanned aerial vehicles and track the desired flight trajectory. For the attitude subsystem, an adaptive disturbance rejection control scheme is proposed to achieve attitude stabilization during unmanned aerial vehicle flight under uncertain disturbances. Compared to existing results, the novelty of this paper lies in presenting a disturbance rejection flight control scheme for actual quadrotor unmanned aerial vehicle formations, without the need to know the model parameters of each unmanned aerial vehicle. Finally, a quadrotor unmanned aerial vehicle swarm system is used to verify the effectiveness of the proposed control scheme.
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Gabhane, Sakha. "Unmanned Aerial Vehicle." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (May 31, 2021): 1370–76. http://dx.doi.org/10.22214/ijraset.2021.34557.
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Wang, Ziyi. "Summarize of the Development of UAV." Academic Journal of Science and Technology 12, no. 2 (September 14, 2024): 178–79. http://dx.doi.org/10.54097/brgxrg45.
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An unmanned aerial vehicle is an unmanned aerial vehicle that, compared to a piloted aircraft, does not require a pilot to fly, and is therefore also called an unmanned aerial vehicle. UAVs have a wide range of applications in both military and civilian fields. In the military field, UAVs are capable of performing a variety of missions such as reconnaissance, surveillance, target location. This article will analyze the current application of unmanned aerial vehicles in military and civilian fields from the development history and current situation of unmanned aerial vehicles, and prospect its future development trend.
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RĂDUCANU, Gabriel, and Ionică CÎRCIU. "UNMANNED AERIAL VEHICLE FUTURE DEVELOPMENT TRENDS." Review of the Air Force Academy 15, no. 3 (December 14, 2017): 105–10. http://dx.doi.org/10.19062/1842-9238.2017.15.3.12.
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UDEANU, Gheorghe, Alexandra DOBRESCU, and Mihaela OLTEAN. "UNMANNED AERIAL VEHICLE IN MILITARY OPERATIONS." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 1 (June 24, 2016): 199–206. http://dx.doi.org/10.19062/2247-3173.2016.18.1.26.
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Melnikov, Sergiy V., Sergiy O. Bondar, and Oleksiy Yu Gospodarchuk. "Modern Unmanned Aerial Vehicle Control Systems." Upravlâûŝie sistemy i mašiny, no. 6 (272) (January 2018): 84–90. http://dx.doi.org/10.15407/usim.2017.06.084.
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Saliy, Oleksandr, Vladyslav Hol, Andrii Divitskyi, and Oleksiy Khakhlyuk. "A complete solution for anti-jaming radio data-link of an unmanned aerial vehicle." Collection "Information Technology and Security" 11, no. 2 (December 28, 2023): 251–65. http://dx.doi.org/10.20535/2411-1031.2023.11.2.293939.
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The effectiveness of an unmanned aerial vehicle's flight mission over a given distance depends on many factors. However, one of the key factors in the successful completion of a flight mission is the availability of high-quality management and control of telemetry by an unmanned aerial vehicle, which in turn is determined by a reliable radio communication between the ground control station and the unmanned aerial vehicle. The current stage of use of unmanned aerial vehicles is characterised by the use of active jammers of various types and purposes, the purpose of which is to disable control channels, navigation channels, telemetry channels and data transmission channels of FPV unmanned aerial vehicles in order to prevent the successful completion of the flight mission of the vehicle. The article considers conceptual issues of implementing a guaranteed interference-free radio data transmission and control of an unmanned aerial vehicle in the conditions of active jamming interference when combining various technological solutions. These solutions include the selection and justification of a special frequency range, the use of structural circuit solutions for interference protection of the radio data transmission and control line; the use of a specific scheme for organising communication with an unmanned aerial vehicle; the use of a transceiver and portable and light antennas for the radio channel that meet reasonable technical requirements; the implementation of the possibility of real-time monitoring of the interference situation on board the unmanned aerial vehicle and detection of the type of interference; ensuring flight in the sector. The requirements were justified and options for selecting a transceiver and antenna were proposed. A structural diagram of the radio line is developed and options for its use as a data transmission and control radio line for an unmanned aerial vehicle are proposed. Examples of real-time tracking of the interference situation on board an unmanned vehicle and detection of the type of interference are given. A flight option in the sector without the use of antenna tracking is calculated and justified. The approximate values of the signal at the receiver input of the unmanned vehicle are calculated.
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Zhang, Xiangyin, and Haibin Duan. "Altitude consensus based 3D flocking control for fixed-wing unmanned aerial vehicle swarm trajectory tracking." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 230, no. 14 (August 6, 2016): 2628–38. http://dx.doi.org/10.1177/0954410016629692.
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This paper studies the 3D flocking control problem for unmanned aerial vehicle swarm when tracking a desired trajectory. In order to allow the unmanned aerial vehicle swarm to form the stable flocking geometry on a same horizontal plane, the altitude consensus algorithm is applied to the unmanned aerial vehicle altitude control channel, using the trajectory altitude as the external input signals. The flocking control algorithm is only performed in the horizontal channel to control the horizontal position of unmanned aerial vehicles. The distributed tracking algorithm, which controls the local averages of position and velocity of each unmanned aerial vehicle, is implemented to achieve the better tracking performance. The improved artificial potential field method is introduced to achieve the smooth trajectory when avoiding obstacles. The practical dynamic and constraints of unmanned aerial vehicles are also taken into account. Numerical simulations are performed to test the performance of the proposed control algorithm.
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Chen, Mingxing, Zhi Xiong, Jianye Liu, Rong Wang, and Jun Xiong. "Cooperative navigation of unmanned aerial vehicle swarm based on cooperative dilution of precision." International Journal of Advanced Robotic Systems 17, no. 3 (May 1, 2020): 172988142093271. http://dx.doi.org/10.1177/1729881420932717.
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Aiming at the formation problem in the cooperative navigation of unmanned aerial vehicle swarm, a cooperative position error analysis method based on cooperative dilution of precision is studied in this article. During cooperative flight, the unmanned aerial vehicle swarm can use the received position and ranging information of the adjacent unmanned aerial vehicles to calculate the position, and fuse with its own sensor position information. The final positioning accuracy depends not only on the capability of the ranging sensor but also on the position accuracy and formation of the adjacent unmanned aerial vehicles. In this article, these influence factors are combined to put forward a cooperative dilution of precision calculation method suitable for unmanned aerial vehicle swarm cooperative navigation. On this basis, a cooperative integrated navigation method based on ranging information is designed. Finally, the performance of cooperative navigation of unmanned aerial vehicles in different formations is simulated and analyzed. The simulation result shows that the cooperative dilution of precision method proposed in this article can effectively analyze the influence of formation on the positioning accuracy of unmanned aerial vehicle swarm, and the final combined positioning result is consistent with the cooperative dilution of precision analysis result.
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Son, Seok Bin, and Dong Hwa Kim. "Searching for Scalable Networks in Unmanned Aerial Vehicle Infrastructure Using Spatio-Attack Course-of-Action." Drones 7, no. 4 (April 4, 2023): 249. http://dx.doi.org/10.3390/drones7040249.
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Unmanned aerial vehicles are increasingly being applied to various applications for a variety purposes, such as delivery, communication relay, mapping, and surveillance services. Through these, it is possible to provide flexible and stable network services. Unmanned aerial vehicles perform a wide range of tasks using Internet-of-Things technology, which needs Internet access. These internet connections, however, make it more possible for attackers to execute various security attacks on unmanned aerial vehicles. Therefore, it is crucial to identify the attack behavior of the adversary, which is called “course-of-action”, to preserve security in the unmanned aerial vehicle infrastructure. Based on learned data, the existing course-of-action method has the drawback of not functioning on various networks. As a result, in this paper, we propose a novel heuristic search-based algorithm to apply to various unmanned aerial vehicle infrastructures. The algorithm can build the optimal heuristic functions in various unmanned aerial vehicle network environments to explore the attack course-of-action and design the optimal attack paths to maximize total reward. Applying the proposed algorithm in two unmanned aerial vehicle network scenarios allowed us to confirm that the best attack path is well established.
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Ali, Zain Anwar, and Xinde Li. "Modeling and controlling of quadrotor aerial vehicle equipped with a gripper." Measurement and Control 52, no. 5-6 (April 16, 2019): 577–87. http://dx.doi.org/10.1177/0020294019834040.
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Arm mounted unmanned aerial vehicles provide more feasible and attractive solution to manipulate objects in remote areas where access to arm mounted ground vehicles is not possible. In this research, an under-actuated quadrotor unmanned aerial vehicle model equipped with gripper is utilized to grab objects from inaccessible locations. A dual control structure is proposed for controlling and stabilization of the moving unmanned aerial vehicle along with the motions of the gripper. The control structure consists of model reference adaptive control augmented with an optimal baseline controller. Although model reference adaptive control deals with the uncertainties as well as attitude controlling of unmanned aerial vehicle, baseline controller is utilized to control the gripper, remove unwanted constant errors and disturbances during arm movement. The proposed control structure is applied in 6-degree-of-freedom nonlinear model of a quadrotor unmanned aerial vehicle equipped with gripper having (2 degrees of freedom) robotic limb; it is applicable for the simulations to desired path of unmanned aerial vehicle and to grasp object. Moreover, the efficiency of the presented control structure is compared with optimal baseline controller. It is observed that the proposed control algorithm has good transient behavior, better robustness in the presence of continuous uncertainties and gripper movement involved in the model of unmanned aerial vehicle.
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Bdour, Jawad, and Belal H. Sababha. "A hybrid thrusting system for increasing the endurance time of multirotor unmanned aerial vehicles." International Journal of Advanced Robotic Systems 20, no. 3 (May 1, 2023): 172988062311723. http://dx.doi.org/10.1177/17298806231172335.
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One of the most significant disadvantages of electric multirotor unmanned aerial vehicles is their short flight time compared to fuel-powered unmanned aerial vehicles. This is mainly due to the low energy density of electric batteries. Fuel has much more energy density when compared to batteries. Electric-powered motors in multirotor unmanned aerial vehicles cannot be replaced with fuel-based engines because the stability and control of multirotor unmanned aerial vehicles rely on the high response rates of electric motors. One of the possible solutions to overcome this problem of short endurance times is by using hybrid thrusting systems that combine the advantages of both fuel and electrical propulsion systems, where high maneuverability and long endurance flight time could be achieved. In this work, hybrid thrusting and power systems for multirotor unmanned aerial vehicles are studied. Targeted hybrid thrusting systems consist of combustion engines, electric motors, and their power sources. Then a hybrid thrusting system-based quadrotor unmanned aerial vehicle model is developed. The article presents the altitude and attitude control systems of the developed hybrid thrusting system-based unmanned aerial vehicle. The presented hybrid quadcopter model comprises four electric motors and one fuel engine. The fuel engine used in this work is a 4.07 cc internal combustion engine targeting 2–3 kg unmanned aerial vehicles with up to 5 kg maximum takeoff weight. The developed hybrid quadrotor unmanned aerial vehicle achieved a 139% improvement in flight time when compared with traditional electric-based quadrotor unmanned aerial vehicles. The article also reports on other flight time-related issues such as the optimal fuel mass to battery size ratio to maximize the endurance time of the quadrotor unmanned aerial vehicles.
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Radovanović, Marko, Aleksandar Petrovski, Vinko Žindrašič, and Aca Ranđelović. "Application of the Fuzzy AHP -VIKOR hybrid model in the selection of an unmanned aircraft for the needs of tactical units of the armed forces." Scientific Technical Review 71, no. 2 (2021): 26–35. http://dx.doi.org/10.5937/str2102026r.
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Unmanned aerial vehicles represent an indispensable segment in the range of weapons of both military and police units. The expansion in development of unmanned aerial vehicles for both commercial and military purposes has created a need for constant improvement of drones and anti-drone means. A wide range of possibilities opens up a wide range of uses for them. The paper presents the choice of an unmanned aerial vehicle as an important combat system for the needs of tactical units of the army and police. The complexity of the problem is conditioned by various tactical-technical and economic characteristics of unmanned aerial vehicles, it has conditioned the use of different methods of multicriteria decision making. A hybrid model of multicriteria decision making fuzzy AHP-VIKOR was used to select the unmanned aerial vehicle for the needs of tactical units. Criteria of importance for the selection of an unmanned aerial vehicle for the needs of tactical units have been defined on the basis of which the most optimal solution (unmanned aerial vehicle) has been selected. The criteria are defined on the basis of tactical-technical and economic characteristics of unmanned aerial vehicles. The calculation of the weight coefficients of the defined criteria was performed using the fuzzy AHP method, while the selection of the drone (the most favorable alternative) based on the defined criteria was performed using the VIKOR method. The obtained result represents the starting point for further research and implementation of unmanned aerial vehicles in tactical units of the army and police.
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Fryz, S. P., V. A. Myklukha, L. M. Maryshchuk, and R. O. Avsievych. "METHOD OF OPTIMIZATION THE ROUTE UNMANNED AERIAL VEHICLE DURING THE TASK AT THE HEIGHT." Проблеми створення, випробування, застосування та експлуатації складних інформаційних систем, no. 17 (December 30, 2019): 134–43. http://dx.doi.org/10.46972/2076-1546.2019.17.12.
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The article is devoted to the actual theme of the present, namely, optimization and improvement of methods and techniques of planning the route of an unmanned aerial vehicle. In article the analysis of a modern condition of development of unmanned aerial vehicles and a circle of tasks which are assigned to them is spent. A number of unresolved tasks are defined, to the construction of the unmanned aerial vehicle route depending on the nature of the tasks. It is analyzed, what main tactical and technical characteristics of the unmanned aerial vehicle and target load influence on the route planning. The approaches to constructing the unmanned aerial vehicle route using graph theory were reviewed and their advantages and disadvantages were analyzed. The capabilities of known approaches to optimize the unmanned aerial vehicle route have been determined and one of the analyzed algorithms for finding the shortest route has been selected for further implementation. Multi-criteria optimization methods, namely cluster analysis, have been analyzed and those that are suitable for the given conditions have been highlighted. Among all clustering algorithms selected and proposed in the future work relevant to the optimization of unmanned aerial vehicle flight. Proposed an improved method that combines clustering (using the algorithm Forel-2 and K-MEANS) and optimization on the graph (using a modified algorithm Little`s), which optimizes the unmanned aerial vehicle flight route by the criterion of its minimum length. A practical calculation of the improved method for the selected unmanned aerial vehicle and its target load has been performed and shows how the unmanned aerial vehicle route will change compared to the known methods. The main results obtained and directions for further research on the optimization of the unmanned aerial vehicle route to solve the task.
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Al-Mousa, Amjed, Belal H. Sababha, Nailah Al-Madi, Amro Barghouthi, and Remah Younisse. "UTSim: A framework and simulator for UAV air traffic integration, control, and communication." International Journal of Advanced Robotic Systems 16, no. 5 (September 1, 2019): 172988141987093. http://dx.doi.org/10.1177/1729881419870937.
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The interest in unmanned systems especially unmanned aerial vehicle is continuously increasing. Unmanned aerial vehicles started to become of great benefit in many different fields. It is anticipated that unmanned aerial vehicles will soon become a main component of the future urban air traffic. The integration of unmanned aerial vehicles within existing air traffic environments has started getting the attention of researchers. Integrating unmanned systems in the real-world urban air traffic requires the development of tools and simulators to enable researchers in their ongoing efforts. In this article, a simulator called UTSim is introduced. The proposed simulator is built using the Unity platform. UTSim is capable of simulating unmanned aerial vehicle physical specification, navigation, control, communication, sensing and avoidance in environments with static and moving objects. The simulator enables studying and exploring several unmanned aerial vehicle air traffic integration issues like sense and avoid, communication protocols, navigation algorithms, and much more. UTSim is designed and developed to be easily used. The user can specify the properties of the environment, the number and types of unmanned aerial vehicles in the environment, and specify the algorithm to be used for path planning and collision avoidance. The simulator outputs a log file with a lot of useful information such as the number of sent and received messages, the number of detected objects and collided unmanned aerial vehicles. Three scenarios have been implemented in this article to present the capabilities of UTSim and to illustrate how it can benefit researchers in the field of integrating unmanned aerial vehicles in urban air traffic.
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Bai, Jingpan, Yifan Zhao, Bozhong Yang, Houling Ji, Botao Liu, and Yunhao Chen. "Joint Optimization Strategy of Task Migration and Power Allocation Based on Soft Actor-Critic in Unmanned Aerial Vehicle-Assisted Internet of Vehicles Environment." Drones 8, no. 11 (November 20, 2024): 693. http://dx.doi.org/10.3390/drones8110693.
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In recent years, the unmanned aerial vehicle-assisted internet of vehicles has been extensively studied to enhance communication and computation services in vehicular environments where ground infrastructures are limited or absent. However, due to the limited-service range and battery life of unmanned aerial vehicles, along with the high mobility of vehicles, an unmanned aerial vehicle cannot continuously cover and serve the same vehicle, leading to interruptions in vehicular application services. Therefore, this paper proposes a joint optimization strategy for task migration and power allocation based on soft actor-critic (JOTMAP-SAC). First, communication models, computational resource allocation models, and computation models are established sequentially based on the computational resource and dynamic coordinate of each node. The joint optimization problem of task migration and power allocation is then formulated. Considering the dynamic nature of the unmanned aerial vehicle-assisted internet of vehicles environment and the continuity of the action space, a soft actor-critic based algorithm for task migration and power allocation is designed. This algorithm iteratively finds the optimal solution to the joint optimization problem, thereby reducing the processing delay in unmanned aerial vehicle-assisted internet of vehicles and ensuring the continuity of internet of vehicles task processing.
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Tang, Jun, Jiayi Sun, Cong Lu, and Songyang Lao. "Optimized artificial potential field algorithm to multi-unmanned aerial vehicle coordinated trajectory planning and collision avoidance in three-dimensional environment." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 16 (April 24, 2019): 6032–43. http://dx.doi.org/10.1177/0954410019844434.
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Multi-unmanned aerial vehicle trajectory planning is one of the most complex global optimum problems in multi-unmanned aerial vehicle coordinated control. Results of recent research works on trajectory planning reveal persisting theoretical and practical problems. To mitigate them, this paper proposes a novel optimized artificial potential field algorithm for multi-unmanned aerial vehicle operations in a three-dimensional dynamic space. For all purposes, this study considers the unmanned aerial vehicles and obstacles as spheres and cylinders with negative electricity, respectively, while the targets are considered spheres with positive electricity. However, the conventional artificial potential field algorithm is restricted to a single unmanned aerial vehicle trajectory planning in two-dimensional space and usually fails to ensure collision avoidance. To deal with this challenge, we propose a method with a distance factor and jump strategy to resolve common problems such as unreachable targets and ensure that the unmanned aerial vehicle does not collide into the obstacles. The method takes companion unmanned aerial vehicles as the dynamic obstacles to realize collaborative trajectory planning. Besides, the method solves jitter problems using the dynamic step adjustment method and climb strategy. It is validated in quantitative test simulation models and reasonable results are generated for a three-dimensional simulated urban environment.
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Kováčiková, Kristína, Branislav Kandera, and Martina Kováčiková. "Výcvik pilotov bezpilotných prostriedkov." AEROjournal 19, no. 1 (2022): 8–11. http://dx.doi.org/10.26552/aer.c.2022.1.2.
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Unmanned aerial vehicles are a part of a fast-growing aviation sector that has the potential to create new jobs as well as economic growth in the individual countries of the European Union. Unmanned aerial vehicle is a relatively new concept compared to the aircraft and it is possible to still find shortcomings in pilot training. The aim of the scientific paper is to map the current state of pilot training regarding unmanned aerial vehicles and to determine the level of demand for the implementation of an unmanned aerial vehicle flight simulator in the flight training of pilots of unmanned aerial vehicles at the Department of Air Transport at the University of Žilina.
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Lukyanov, O. E., V. H. Hoang, V. A. Komarov, D. V. Nazarov, E. I. Kurkin, J. G. Quijada Pioquinto, and V. O. Chertykovtseva. "Reducing energy consumption of vertical take-off and landing unmanned aerial vehicle using hybrid technical solutions." VESTNIK of Samara University. Aerospace and Mechanical Engineering 23, no. 1 (April 17, 2024): 38–54. http://dx.doi.org/10.18287/2541-7533-2024-23-1-38-54.
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The paper describes possibilities of increasing the energy efficiency and reducing the takeoff weight of unmanned medium-heavy vertical takeoff and landing aerial vehicles of the airplane type. The authors propose a new hybrid type of unmanned aerial vehicle with a hybrid propulsion system, its aerodynamic design, method of realization of vertical takeoff/landing and cruising mode of flight which make it possible to reduce the takeoff weight of the aircraft, the weight of the basic propulsion system and the mass growth factor in comparison with the existing unmanned aerial vehicle of similar class, made according to the previously known technical solutions. The authors propose a methodology for optimizing the parameters of the configuration of the unmanned aerial vehicle considering the peculiarities of the implementation of vertical takeoff. The paper presents calculations of characteristics of vertical takeoff and landing unmanned aerial vehicles of existing types and the new hybrid type. The authors give quantitative estimates of improving unmanned aerial vehicle characteristics due to the new proposed technical solutions.
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Sharafutdinov, A. A., and A. A. Sharafutdinova. "Modeling of the optimal route of unmanned systems and positioning algorithms for monitoring man-made and natural fires." IOP Conference Series: Earth and Environmental Science 981, no. 4 (February 1, 2022): 042019. http://dx.doi.org/10.1088/1755-1315/981/4/042019.
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Abstract Unmanned aerial vehicle – an aircraft without a crew on board. For many years, unmanned aerial vehicles have become very popular. The field of application of unmanned aerial vehicles is quite common. The article considers the scope of application of UAVs, developed a method of group use of unmanned aerial vehicles, as well as the prospects for the development of this area.
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Chang, Bao Rong, Hsiu-Fen Tsai, Jyong-Lin Lyu, and Chien-Feng Huang. "Distributed sensing units deploying on group unmanned vehicles." International Journal of Distributed Sensor Networks 17, no. 7 (July 2021): 155014772110368. http://dx.doi.org/10.1177/15501477211036877.
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This study aims to use two unmanned vehicles (aerial vehicles and ground vehicles) to implement multi-machine cooperation to complete the assigned tasks quickly. Unmanned aerial/ground vehicles can call each other to send instant inquiry messages using the proposed cooperative communication protocol to hand over the tasks between them and execute efficient three-dimensional collaborative operations in time. This study has demonstrated integrating unmanned aerial/ground vehicles into a group through the control platform (i.e. App operation interface) that uses the Internet of Things. Therefore, pilots can make decisions and communicate through App for cooperative coordination, allowing a group of unmanned aerial/ground vehicles to complete the tasks flexibly. In addition, the payload attached to unmanned air/ground vehicles can carry out multipurpose monitoring that implements face recognition, gas detection, thermal imaging, and video recording. During the experiment of unmanned aerial vehicle, unmanned aerial vehicle will plan the flight path and record the movement trajectory with global positioning system when it is on duty. As a result, the accuracy of the planned flight path achieved 86.89% on average.
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Gorsky, Alexander, Vitaliy Demyanov, and Alexander Zhukov. "Problem of creation ground robotics vehicle." Robotics and Technical Cybernetics 10, no. 2 (June 2022): 154–60. http://dx.doi.org/10.31776/rtcj.10209.
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The article discusses about the system of information support for unmanned ground vehicle and un-manned aerial vehicles with an increased degree of autonomy, arising application difficulties, is considered. Some methodological approaches to calculating the requirements of electronic protection for the data transmission systems of unmanned ground vehicle and unmanned aerial vehicles with an increased degree of autonomy are given.
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Погудін, А. В., М. С. Бондарєв, and О. К. Погудіна. "ПОРІВНЯЛЬНИЙ АНАЛІЗ ТА СТВОРЕННЯ БЕЗПІЛОТНИХ ЛІТАЛЬНИХ АПАРАТІВ ДЛЯ ФОРМУВАННЯ МАКЕТА РОЙОВОЇ ВЗАЄМОДІЇ." Open Information and Computer Integrated Technologies, no. 94 (February 9, 2022): 113–21. http://dx.doi.org/10.32620/oikit.2021.94.09.
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The subject of study is the process of creating an unmanned aerial vehicle of the helicopter type, which is able to perform autonomous flight and be used in the premises to test the algorithms of swarm interaction. The aim is to reduce the cost of forming and operating the UAV swarm intelligence model, ensuring compatibility with existing hardware positioning systems and simulation software platforms. Tasks: to analyze the existing prototypes of unmanned aerial vehicles of the helicopter type, used for modeling and testing of autonomous flight modes indoors; to review the systems of positioning and exchange of information between the participants of the swarm formation and to analyze the hardware systems necessary for the implementation of these systems; to develop the architecture of hardware subsystems for unmanned aerial vehicles capable of performing tasks at the level of the considered prototypes; design a case for a sound hardware platform, check its operational parameters, implement its collection and testing; install software that allows you to check the operability of the considered platform of the unmanned aerial vehicle. The methods used are: systems analysis used to compare models of unmanned aerial vehicles within the tasks, methods of analysis and synthesis of schemes for the implementation of the hardware platform, the method of graphic modeling for the design of the unmanned aerial vehicle, methods of system programming for flight program. The following results were obtained. The choice of the hardware platform of the unmanned aerial vehicle is substantiated; the hull for the helicopter was developed and implemented, two platforms of unmanned aerial vehicles were collected and tested during autonomous flight indoors. Conclusions. The study found that there are existing and widely used platforms for compatible indoor flight. These platforms are open and closed. The analysis of open hardware platforms and synthesis of architecture of own unmanned aerial vehicle is made. The designed and implemented unmanned aerial vehicle is capable of autonomous flight, has all the necessary components to perform a compatible flight program. As part of the layout of swarm interaction, it is necessary to further adjust the positioning system.
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Madey, Alexander G. "Unmanned Aerial Vehicle Swarms." International Journal of Agent Technologies and Systems 5, no. 3 (July 2013): 1–13. http://dx.doi.org/10.4018/ijats.2013070101.
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Unmanned aerial vehicles (UAVs) are being widely used for both military and civilian purposes. The advent of smaller, lighter, less expensive UAVs opens opportunities to deploy a large number of small, semi-autonomous UAVs in a cohesive group or “swarm”. Swarms offer numerous advantages over single UAVs, such as higher coverage, redundancy in numbers and reduced long-range bandwidth requirements. Engineering a swarm requires designing the swarming behavior and finding effective ways to control the behavior so that the swarm can be directed to complete its mission. This paper presents an approach to developing UAV swarming behaviors and command and control (C2) strategies to govern them. The agent-based modeling toolkit NetLogo is used to create two mission types: contaminant plume mapping and vessel tracking. Performance metrics are used to evaluate success as parameters are changed. This research demonstrates the potential usefulness of agent-based modeling in the engineering of UAV swarms.
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Maneschijn, A., T. Jones, T. W. von Backström, and L. A. Ingham. "A proposed reference framework for unmanned aerial vehicle and system airworthiness requirements." Aeronautical Journal 111, no. 1120 (June 2007): 345–58. http://dx.doi.org/10.1017/s0001924000004607.
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Abstract Various programmes are underway internationally to establish legislative instruments for regulating civil and military unmanned aerial vehicles and systems. An analysis of a selection of these programmes revealed that the approaches used for airworthiness regulation are not harmonised and are usually limited to specific unmanned aerial vehicle types, indicating the need for a generic framework for airworthiness requirements. A functional Reference Framework for unmanned aerial vehicle and system airworthiness requirements was developed using Annex 8 of the Chicago Convention as a reference basis, supplemented with airworthiness procedures and functional requirements derived from manned aircraft regulations, unmanned aerial vehicle and system airworthiness material, and flightworthiness guidelines for reusable launch vehicles. Various airworthiness elements were identified for which further research is required to develop appropriate airworthiness requirements. This paper summarises the development of the framework and proposes the Reference Framework as a functional basis for generating comprehensive South African civil and military airworthiness requirements for unmanned aerial vehicles and systems.
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Yang, Mingxiao, Sifan Wang, Kai Hu, and Tongyan Liu. "Wing Optimization Design Based on Composite Global Hawk Unmanned Aerial Vehicle." Journal of Physics: Conference Series 2557, no. 1 (July 1, 2023): 012087. http://dx.doi.org/10.1088/1742-6596/2557/1/012087.
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Abstract Composite materials have become the approach to solve the high stiffness and light weight of unmanned aerial vehicle structures. The wing had an extremely important influence on the flight of the unmanned aerial vehicle. The optimal composite wing design aroused widespread attention since it enhanced the aerodynamic performance of unmanned aerial vehicles. This article was intended to optimize and design the unmanned aerial vehicle with advantages in aerodynamic performance. According to the parameters of the military-civilian integrated unmanned aerial vehicle, a three-dimensional model of the overall structure of the composite Global Hawk unmanned aerial vehicle was designed. The effect of composite materials on the wing and the optimization of the laminate layup structure were studied. XFLR5 software was utilized to analyze the aerodynamic performance of the wing. The original NACA0012 airfoil and the optimized NACA3412 airfoil of the composite Global Hawk unmanned aerial vehicle were analyzed respectively for structure and performance. XFLR5 software was utilized to conduct flight simulation under the set parameters, and the effect of changing the angle of attack on the wing performance was analyzed. The results demonstrated that the optimized wing outperformed the original wing in terms of the lift, drag, torque, and lift-drag ratio.
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Zhao, Taifei, Hua Wang, and Qianwen Ma. "The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance." International Journal of Distributed Sensor Networks 16, no. 5 (May 2020): 155014772092022. http://dx.doi.org/10.1177/1550147720920220.
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The unmanned aerial vehicle features with high flexibility and easy deployment. It could be used as an air base station and provide fast communication services for the ground users. It plays an important role in some special occasions such as natural disasters, emergency communications and temporary large-scale activities. A single unmanned aerial vehicle equipped with base station has limited range of services, but a multiple unmanned aerial vehicle equipped with base station network can serve a wider range of users. The research goal of unmanned aerial vehicle equipped with base station network coverage control is to maximize the network coverage under the condition of maintaining the service quality. In view of the low dynamic coverage ratio of unmanned aerial vehicle equipped with base station network, this article proposes a relative distance–based unmanned aerial vehicle equipped with base station deployment method. The unmanned aerial vehicle realizes on-demand coverage and maintains a stable network topology under the influence of three relative distances by sensing the uncovered area of the ground, the neighbouring unmanned aerial vehicles and the location of the coverage boundary or obstacles. In addition, the algorithm is also adapted to a variety of scenarios. The simulation results show that the coverage of the proposed algorithm is 22.4% higher than that of random deployment, and it is 9.9%, 4.7% and 2.1% higher than similar virtual force-oriented node, circular binary segmentation and hybrid local virtual force algorithms.
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Khudov, Hennadii, Andrii Berezhnyi, Serhii Yarosh, Oleksandr Oleksenko, Mykola Khomik, Iryna Yuzova, Andrii Zvonko, Serhii Yarovyi, Sergey Glukhov, and Anatolii Sobora. "Improving a method for detecting and measuring coordinates of a stealth aerial vehicle by a network of two small-sized radars." Eastern-European Journal of Enterprise Technologies 6, no. 9 (126) (December 21, 2023): 6–13. http://dx.doi.org/10.15587/1729-4061.2023.293276.
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The object of this study is the process of detecting and determining the coordinates of stealth unmanned aerial vehicles by a network of two small-sized radars. The main hypothesis of the study assumes that the use of two small-sized radars, which are connected in a network, could improve the quality of detection and determination of the coordinates of stealth unmanned aerial vehicles. The improved method for detecting and determining the coordinates of a stealth unmanned aerial vehicle, unlike the known ones, enables the following: – synchronous inspection of the airspace; – reception of the signal reflected from a stealth unmanned aerial vehicle by two small-sized radars; – carrying out coordinated filtering of incoming signals; – compensation of phase shifts and coherent addition of output signals from matched filters; – formation of Doppler channels in each small-sized radar and formation of a complex envelope from the output of the corresponding Doppler channel; – coherent processing (addition) of signals; – compensation of the random initial phase of signals reflected from a stealth unmanned aerial vehicle by detecting the output signal from the coherent adder; – measuring the range to a stealth unmanned aerial vehicle by each small-sized radar; – calculation of the coordinates of a stealth unmanned aerial vehicle. It was established that at low signal/noise values, the gain in terms of the conditional probability of correct detection is from 25 % to 32 %. It was determined that the use of a network of two small-sized radars makes it possible to reduce the mean square error in determining the coordinates of a stealth unmanned aerial vehicle from 28 % to 37 % on average
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Guo, Kexin, Zhirong Qiu, Wei Meng, Lihua Xie, and Rodney Teo. "Ultra-wideband based cooperative relative localization algorithm and experiments for multiple unmanned aerial vehicles in GPS denied environments." International Journal of Micro Air Vehicles 9, no. 3 (March 28, 2017): 169–86. http://dx.doi.org/10.1177/1756829317695564.
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This article puts forward an indirect cooperative relative localization method to estimate the position of unmanned aerial vehicles (UAVs) relative to their neighbors based solely on distance and self-displacement measurements in GPS denied environments. Our method consists of two stages. Initially, assuming no knowledge about its own and neighbors’ states and limited by the environment or task constraints, each unmanned aerial vehicle (UAV) solves an active 2D relative localization problem to obtain an estimate of its initial position relative to a static hovering quadcopter (a.k.a. beacon), which is subsequently refined by the extended Kalman filter to account for the noise in distance and displacement measurements. Starting with the refined initial relative localization guess, the second stage generalizes the extended Kalman filter strategy to the case where all unmanned aerial vehicles (UAV) move simultaneously. In this stage, each unmanned aerial vehicle (UAV) carries out cooperative localization through the inter-unmanned aerial vehicle distance given by ultra-wideband and exchanging the self-displacements of neighboring unmanned aerial vehicles (UAV). Extensive simulations and flight experiments are presented to corroborate the effectiveness of our proposed relative localization initialization strategy and algorithm.
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Khudov, Hennadii, Oleksandr Makoveichuk, Oleksandr Kostyria, Ihor Butko, Andrii Poliakov, Yaroslav Kozhushko, Serhii Yarovyi, Oleksii Serdiuk, Petro Mynko, and Rostyslav Khudov. "Devising a method for determining the coordinates of an unmanned aerial vechicle via a network of portable spectrum analyzers." Eastern-European Journal of Enterprise Technologies 6, no. 9 (132) (December 30, 2024): 97–107. https://doi.org/10.15587/1729-4061.2024.318551.
Full textAbstract:
The object of this study is the process of determining the coordinates of unmanned aerial vehicles. The study hypothesis assumed that the use of a network of portable spectrum analyzers could make it possible to detect the signals of the on-board systems of an unmanned aerial vehicle and reduce the mean square error in determining its coordinates. A method for determining the coordinates of an unmanned aerial vehicle using a network of portable spectrum analyzers has been improved, which, unlike known ones, allows for the following: – using signals of on-board equipment of an unmanned aerial vehicle; – using a network of portable spectrum analyzers; – application of both the triangulation and the difference-ranging method for determining the coordinates of an unmanned aerial vehicle by a network of portable spectrum analyzers; – carrying out spectral analysis of the signals of the on-board systems of the unmanned aerial vehicle (carried out additionally if necessary). Experimental studies have shown the capabilities of a portable spectrum analyzer to receive signals and display their spectra and spectrograms. The accuracy in determining the coordinates of an unmanned aerial vehicle by a network of portable spectrum analyzers was evaluated. It has been established: – the use of a network of portable spectrum analyzers significantly reduces the root mean square error in measuring the coordinates of an unmanned aerial vehicle by approximately 50 % compared to the error of one portable spectrum analyzer; – as the distance from the network elements of portable spectrum analyzers increases, the mean square error increases. – the use of a network of portable spectrum analyzers reduces the root mean square error in determining the coordinates of an unmanned aerial vehicle by an average of 2.29–2.62 times compared to the radar P-19MA, depending on the range
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Atamanenko, Yuliya. "METHODS OF FIXING THE PLACE OF AN ACCIDENT BY MEANS OF UNMANNED AIRCRAFT: CERTAIN ASPECTS OF IMPROVEMENT." Law Journal of Donbass 77, no. 4 (2021): 198–204. http://dx.doi.org/10.32366/2523-4269-2021-77-4-198-204.
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An innovative approach to the process of recording administrative offenses by means of unmanned aerial vehicles will increase the level of organization of road safety, which is one of the urgent tasks of ensuring transport safety in Ukraine. The article investigates the theoretical and practical issues of application of the patented method of fixing road accidents and presents its main advantages in comparison with the existing traditional methods of fixing. Based on the data obtained as a result of aerial photography of an accident site by an unmanned aerial vehicle, the need to improve certain aspects of the patented methods is substantiated. Improving the method of recording road accidents is to use new modern methods and approaches that differ from traditional ones and conditionally divide the overall process into stages of recording. First of all, this is a preparatory stage, which is that an employee of the National Police of Ukraine, which carries out the registration of materials on administrative offenses under Art. 124 of the Administrative code, before the beginning of fixing a road accident with the use of unmanned aerial vehicles is recommended: to receive a conclusion on suitability for controlling an unmanned aerial vehicle from the Central medical flight commission; to undergo professional training in controlling an unmanned aerial vehicle; to get acquainted with the process of recording an accident using an unmanned aerial vehicle; to study in detail the recommendations on the choice of flight altitude during the registration of accidents and parameters related to the use of controlling an unmanned aerial vehicles in different weather conditions. So, in view of the quick and efficient examination of road transport accidents, it is recommended that an official vehicle of a member of the National Police of Ukraine will be equipped with a special complex, which will respond to the criterion "quality – price – technical characteristics". The comparative analysis of two ways of fixing road accidents by means of unmanned aerial vehicles in the form of a table is resulted; their primary advantages and lacks are specified. It is proved that the use of unmanned aerial vehicles is a requirement of today and meets the goal of ensuring transport safety in Ukraine.
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Zou, Jie-Tong, and Pan Zheng-Yan. "THE DEVELOPMENT OF TILT-ROTOR UNMANNED AERIAL VEHICLE." Transactions of the Canadian Society for Mechanical Engineering 40, no. 5 (December 2016): 909–21. http://dx.doi.org/10.1139/tcsme-2016-0075.
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In this research, we had developed quad-rotor unmanned aerial vehicles with the tilt-rotor mechanism. People are eager to fly therefore the development of aerial vehicles, such as fixed-wing aerial vehicles and multi-rotor aerial vehicles, has grown rapidly in recent years. The multi-rotor vertical take-off and landing (VTOL) unmanned aerial vehicle which can fly stably and hover in a fix position developed the fastest. Comparing the general fixed-wing aircrafts and rotorcrafts, fixed-wing aircrafts can fly with a higher speed than rotorcrafts, but they do not have the VTOL and hovering abilities. The proposed quad-rotor aerial vehicle with tilt-rotor mechanism has two flight modes: rotorcraft and fixed-wing aircraft flight mode. It can take-off and land vertically in rotorcraft mode and can also fly faster in fixed-wing aircraft flight mode. The dynamic equations of the proposed quad-rotor aerial vehicle with tiltrotor mechanism are also studied in this paper.
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Li, H., J. J. Zhang, Y. Fu, J. Xu, and Y. J. Hao. "Research on dynamic prediction method of temperature environment of unmanned aerial vehicle platform based on physical information and neural network." Journal of Physics: Conference Series 2746, no. 1 (May 1, 2024): 012027. http://dx.doi.org/10.1088/1742-6596/2746/1/012027.
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Abstract During the flight of an unmanned aerial vehicle, the temperature environment inside the cabin is very harsh, resulting in frequent malfunctions of airborne equipment. Therefore, it is necessary to predict the temperature environment experienced by airborne equipment during its life cycle in the early stages of design to support the formulation of design requirements, determine test verification conditions, used and maintained. In order to accurately predict the temperature environment of the unmanned aerial vehicle platform, this paper proposes a prediction method that integrates physical information and neural networks. In view of the thermal environment characteristics of unmanned aerial vehicle platform, the physical mechanism of the formation and transfer of the unmanned aerial vehicle thermal environment was analyzed. Based on the physical mechanism equations and combined with the measured data of unmanned aerial vehicles, an Elman neural network model was established to achieve high flight speed, speed, etc. parameters are characterized as a function of the temperature inside the unmanned aerial vehicle cabin, and finally the model is verified. The results show that the temperature environment prediction model integrates physical information and neural networks can accurately predict the dynamic changes in the temperature inside the unmanned aircraft cabin. The maximum error of the model is 2.76°C, which meets engineering needs.
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Roberts, Ricardo, Manlio Barajas, Ernesto Rodriguez-Leal, and José Luis Gordillo. "Haptic feedback and visual servoing of teleoperated unmanned aerial vehicle for obstacle awareness and avoidance." International Journal of Advanced Robotic Systems 14, no. 4 (July 1, 2017): 172988141771636. http://dx.doi.org/10.1177/1729881417716365.
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Obstacle avoidance represents a fundamental challenge for unmanned aerial vehicle navigation. This is particularly relevant for low altitude flight, which is highly subjected to collisions, causing property damage or even compromise human safety. Autonomous navigation algorithms address this problem and are applied in various tasks. However, this approach is usually overshadowed by unreliable results in uncertain environments. In contrast, human pilots are able to maneuver vehicles in complex situations, in which an algorithm would no offer a reliable performance. This article explores a novel configuration of assisted flying and implements an experimental setup in order to prove its efficacy. The user controls an unmanned aerial vehicle with a force feedback device, where simultaneously an assisted navigation algorithm can manipulate this apparatus to divert the unmanned aerial vehicle from its path. Experiments confirm the authors’ hypothesis that the unmanned aerial vehicle is deviated or maintains the same course at the operator’s will. Unlike conventional controllers that dictate roll, pitch, and yaw, this implementation uses direct mapping between the position represented by the haptic device and the unmanned aerial vehicle. This configuration applies feedback before the unmanned aerial vehicle has reached the position referenced by the haptic device, providing valuable time for the user to make the necessary path correction.
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Evdokimenkov, Veniamin N., Dmitriy A. Kozorez, and Lev N. Rabinskiy. "Unmanned aerial vehicle evasion manoeuvres from enemy aircraft attack." Journal of the Mechanical Behavior of Materials 30, no. 1 (January 1, 2021): 87–94. http://dx.doi.org/10.1515/jmbm-2021-0009.
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Abstract One of the most important problems associated with the combat use of unmanned aerial vehicles remains to ensure their high survivability in conditions of deliberate countermeasures, the source of which can be both ground-based air defence systems and fighter aircraft. For this reason, the study and optimization of evasive manoeuvres of an unmanned aerial vehicle from an enemy aircraft attack remains relevant. Based on the game approach, the authors of this paper propose an algorithm for guaranteeing control of the trajectory of an unmanned aerial vehicle, which ensures its evasion from an enemy air attack. The study of the influence of tactically significant indicators of the manoeuvrability of an unmanned aerial vehicle on the effectiveness of the evasion manoeuvre was carried out. The model predictions are presented, reflecting the degree of influence of unmanned aerial vehicle manoeuvring capabilities on achieving a positional advantage when solving the problem of evading air enemy attack.
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Al-Bkree, Mahmod. "Optimizing Perimeter Surveillance Drones to enhance the security system of unmanned aerial vehicles." Security science journal 2, no. 2 (December 13, 2021): 105–15. http://dx.doi.org/10.37458/ssj.2.2.7.
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This work is to optimize perimeter surveillance and explore the distribution of ground bases for unmanned aerial vehicles along the Jordanian border and optimize the set of technologies for each aerial vehicle. This model is part of ongoing research on perimeter security systems based on unmanned aerial vehicles. The suggested models give an initial insight about selecting technologies carried by unmanned aerial vehicles based on their priority; it runs for a small scale system that can be expanded, the initial results show the need for at least four ground bases along the length of the border, and a selected set of various technologies for each vehicle.
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Ruban, Igor, Hennadii Khudov, Oleksandr Makoveichuk, Vladyslav Khudov, Temir Kalimulin, Sergey Glukhov, Pavlo Arkushenko, Taras Kravets, Irina Khizhnyak, and Nazar Shamrai. "Methods of UAVs images segmentation based on k-means and a genetic algorithm." Eastern-European Journal of Enterprise Technologies 4, no. 9(118) (August 31, 2022): 30–40. http://dx.doi.org/10.15587/1729-4061.2022.263387.
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The object of this study is the process of segmentation of images from unmanned aerial vehicles. It was established that segmentation methods based on k-means and a genetic algorithm work qualitatively on images from space observation systems. It is proposed to use segmentation methods based on k-means and a genetic algorithm for segmenting images from unmanned aerial vehicles. The main stages of image segmentation methods based on k-means and genetic algorithm have been determined. An experimental study of segmentation of images from unmanned aerial vehicles was carried out. Unlike known ones, image segmentation by a k-means-based method that successfully works on images from space surveillance systems cannot be directly applied to image segmentation from unmanned aerial vehicles. Unlike known ones, image segmentation by a method based on a genetic algorithm that successfully works on images from space surveillance systems also cannot be directly applied to image segmentation from unmanned aerial vehicles. The quality of segmentation of images from unmanned aerial vehicles by methods based on k-means and a genetic algorithm was assessed. It was established that: – the average level of first-kind errors is 70 % and 51 % when segmenting an image from an unmanned aerial vehicle using methods based on k-means and a genetic algorithm, respectively; – average level of second-kind errors is 61 % and 43 % when segmenting an image from an unmanned aerial vehicle using methods based on k-means and a genetic algorithm, respectively. It was concluded that further research must be carried out to develop methods for segmenting images from unmanned aerial vehicles.
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Raza, Ali, Syed Hashim Raza Bukhari, Farhan Aadil, and Zeshan Iqbal. "An UAV-assisted VANET architecture for intelligent transportation system in smart cities." International Journal of Distributed Sensor Networks 17, no. 7 (July 2021): 155014772110317. http://dx.doi.org/10.1177/15501477211031750.
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Vehicular ad hoc network is a pretty research vibrant area since last decade. It has been successfully used for intelligent transportation system and entertainment purposes for realization of smart cities. However, intermittent connectivity, high routing overhead, inflexible communication infrastructure, unscalable networks, and high packet collision are the key challenges that put hindrances on the wide applications of vehicular ad hoc network. The severity of these challenges become even more intensified when deployed in urban areas. To overcome these hurdles, integrating micro unmanned aerial vehicles with vehicular ad hoc network provides a viable solution. In this article, we proposed an unmanned aerial vehicle–assisted vehicular ad hoc network communication architecture in which unmanned aerial vehicles fly over the deployed area and provide communication services to underlying coverage area. Unmanned aerial vehicle–assisted vehicular ad hoc network avails the advantages of line-of-sight communication, load balancing, flexible, and cost effective deployment. The performance of the proposed model is evaluated against a case study of vehicle collision on highway. Results show that utilization of unmanned aerial vehicles ensures the guaranteed and timely delivery of emergency messages to nearby vehicles so that a safe action can be taken to avoid further damages.
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Yan, Fei, Xiaoping Zhu, Zhou Zhou, and Yang Tang. "Heterogeneous multi-unmanned aerial vehicle task planning: Simultaneous attacks on targets using the Pythagorean hodograph curve." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 13 (February 25, 2019): 4735–49. http://dx.doi.org/10.1177/0954410019829368.
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The coupled task allocation and path planning problem for heterogeneous multiple unmanned aerial vehicles performing a search and attack mission involving obstacles and no-fly zones are addressed. The importance of the target is measured using a time-dependent value. A task allocation algorithm is proposed to obtain the maximum system utility. In the system utility function, the reward of the target, path lengths of unmanned aerial vehicles, and number of unmanned aerial vehicles to perform a simultaneous attack are considered. The path length of the unmanned aerial vehicles based on the Pythagorean hodograph curve is calculated, and it serves as the input for the task allocation problem. A resource management method for unmanned aerial vehicles is used, so that the resource consumption of the unmanned aerial vehicles can be balanced. To satisfy the requirement of simultaneous attacks and the unmanned aerial vehicle kinematic constraints in an environment involving obstacles and no-fly zones, a distributed cooperative particle swarm optimization algorithm is developed to generate flyable and safe Pythagorean hodograph curve trajectories for unmanned aerial vehicles to achieve simultaneous arrival. Monte Carlo simulations are conducted to demonstrate the performance of the proposed task allocation and path planning method.
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KUTPANOVA, Zarina A., Hakan TEMELTAS, and Serik A. KULMAMIROV. "Flight control and collision avoidance of three UAVs following each other." INCAS BULLETIN 14, no. 4 (December 2, 2022): 79–94. http://dx.doi.org/10.13111/2066-8201.2022.14.4.7.
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An unmanned aerial vehicle is a hardware and software complex with multi-purpose control. Unlike manned aviation, an unmanned aerial vehicle requires additional modules in its control system. These include the drone itself, the operator's workplace, software, data transmission lines and blocks necessary to fulfil the set flight objectives. The range of applications of unmanned aerial vehicles in the civil sector is not limited, but with the current state of the legal framework for the use of airspace, flight operations are somewhat difficult. The article formulates the main scientific position on the methodology of solving auxiliary tasks set in the work. The methodology specifies the main research stages, and it is a generalized methodological algorithm for the implementation of scientific research, which provides theoretical developments, field observations and simulation computer modelling. As a result of the study, it was found that the motion control systems of unmanned aerial vehicles are used for the process of their differentiation by the principle of complete external control, the advantages of which are considered in the work. For external control of divergence process of unmanned aerial vehicles, a method is considered for assessing the situation of convergence of unmanned aerial vehicles and choosing the manoeuvre of their difference using the area of dangerous courses, unmanned aerial vehicles approach, and it is possible to take into account the inertia of unmanned aerial vehicles when turning and the presence of navigational hazards that are in the manoeuvring area.
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Xu, Fengtong, Tao Hong, Jingcheng Zhao, and Tao Yang. "Detection and identification technology of rotor unmanned aerial vehicles in 5G scene." International Journal of Distributed Sensor Networks 15, no. 6 (June 2019): 155014771985399. http://dx.doi.org/10.1177/1550147719853990.
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In the 5G era, integration between different networks is required to realize a new world of Internet of things, the most typical model is Space–Air–Ground Internet of things. In the Space–Air–Ground Internet of things, unmanned aerial vehicle network is widely used as the representative of air-based networks. Therefore, a lot of unmanned aerial vehicle “black flying” incidents have occurred. UAVs are a kind of “low, slow and small” artificial targets, which face enormous challenges in detecting, identifying, and managing them. In order to identify the “black flying” unmanned aerial vehicle, combined with the advantages of 5G millimeter wave radar and machine learning methods, the following methods are adopted in this article. For a one-rotor unmanned aerial vehicle, the radar echo data are a single-component sinusoidal frequency modulation signal. The echo signal is conjugated first and then is subjected to a short-time Fourier transform, while the micro-Doppler has a double effect. For a multi-rotor unmanned aerial vehicle, the radar echo data are a multi-component sinusoidal frequency modulation signal, the k-order Bessel function base and the signal are used for integral projection processing, which better identifies the micro-Doppler characteristics such as the number of rotors or the rotational speed of each rotor. The noise interference is added to verify that the algorithm has better robustness. The micro-Doppler characteristics of rotor unmanned aerial vehicles are extracted by the above algorithm, and the data sets are built to train the model. Finally, the classification of unmanned aerial vehicle is realized, and the classification results are given. The research in this article provides an effective solution to solve the problem of detecting and identifying unmanned aerial vehicle by 5G millimeter wave radar in the Internet of Things, which has high practical application value.
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Hunko, A. A. "Features of the use of unmanned aircraft during the inspection of the scene of the incident during the investigation of violations of the road safety rules or vehicle operation." Analytical and Comparative Jurisprudence, no. 5 (October 12, 2024): 785–90. http://dx.doi.org/10.24144/2788-6018.2024.05.120.
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The article highlights the procedural and tactical features of the inspection of the scene of a traffic accident with the use of an unmanned aerial vehicle. To achieve this goal, the forensic features of conducting an inspection of the scene during the pretrial investigation of crimes of violations of road safety rules or vehicle operation at each of the preparatory, working, and final stages are revealed. The current state and prospects of the use of unmanned aerial vehicles by the bodies and units of the National Police during the inspection of the scene of a traffic accident were studied. The advantages of using an unmanned aerial vehicle during the inspection of the scene of a traffic accident are given, the concept of an unmanned aerial vehicle is defined, the methods and tactical methods of using an unmanned aerial vehicle. Scientific and practical recommendations are given on the procedure for recording crimes with the help of an unmanned aerial vehicle regarding violations of the rules of road traffic safety or vehicle operation during the inspection of the scene of the incident. It was concluded that the use of an unmanned aerial vehicle in the activity of the investigator during the investigation of traffic accidents is legitimate and provides much more advantages than the use of other methods of recording, such as measuring with a manual or laser tape measure, taking photos or video recording with cameras or video cameras. The use of UAVs during the inspection of the scene of the incident significantly reduces the time of its inspection, while providing the opportunity to obtain high-quality and sufficient evidentiary material.
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Erofeev, V. V., A. N. Kosterev, E. D. Valkova, and V. V. Matytsin. "Radio telemetry signal quality enhancement system to improve Earth remote sensing using unmanned aerial vehicles efficiency in real-time kinematics mode." Earth sciences and subsoil use 47, no. 3 (November 13, 2024): 316–28. http://dx.doi.org/10.21285/2686-9993-2024-47-3-316-328.
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When conducting remote sensing of the Earth using unmanned aerial vehicles, the problem of connection disruption between the operator’s base station and the unmanned aerial vehicle controller often arises due to natural obstacles to radio signal propagation (relief, vegetation, etc.) as well as a large range of the vehicle. The loss of connection is especially critical when surveying is carried out using a real-time kinematics technology, which ensures the transmission of correction amendments from the base station to the unmanned aerial vehicle controller to ensure high-precision spatial referencing of the obtained data. The objective of the work was to create a signal retransmission system with the possibility to install it on a light-class unmanned aerial vehicle capable of hovering in the air for more than three hours, for transmitting a radio signal from the base to the unmanned aerial vehicle via a third-party device beyond natural terrain obstacles and over long distances. Having compared various methods of signal transmission via a third-party device, the authors determined the most suitable configuration that meets the requirements for signal transmission quality and design simplicity for performing work in hard-to-reach regions. To create the repeater, RFD radio modems of various series were used and various operating frequencies were tested due to their availability and wide customization capabilities. The work resulted in obtaining a repeater pair of radio modems that make it possible to redirect the radio signal from the base station to the unmanned aerial vehicle without any loss of data quality and transfer rate for performing remote sensing of the Earth using the real-time kinematics technology. A secondary feature of the repeater is the possibility to use it as a search system in case of unmanned aerial vehicles emergency landing if the search beacon is unavailable.
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Li, Linpei, Xiangming Wen, Zhaoming Lu, and Wenpeng Jing. "An Energy Efficient Design of Computation Offloading Enabled by UAV." Sensors 20, no. 12 (June 13, 2020): 3363. http://dx.doi.org/10.3390/s20123363.
Full textAbstract:
The data volume is exploding due to various newly-developing applications that call for stringent communication requirements towards 5th generation wireless systems. Fortunately, mobile edge computing makes it possible to relieve the heavy computation pressure of ground users and decrease the latency and energy consumption. What is more, the unmanned aerial vehicle has the advantages of agility and easy deployment, which gives the unmanned aerial vehicle enabled mobile edge computing system opportunities to fly towards areas with communication demand, such as hotspot areas. However, the limited endurance time of unmanned aerial vehicle affects the performance of mobile edge computing services, which results in the incomplete mobile edge computing services under the time limit. Consequently, this paper concerns the energy-efficient scheme design of the unmanned aerial vehicle while providing high-quality offloading services for ground users, particularly in the regions where the ground communication infrastructures are overloaded or damaged after natural disasters. Firstly, the model of energy-efficient design of the unmanned aerial vehicle is set up taking the constraints of the energy limitation of the unmanned aerial vehicle, the data causality, and the speed of the unmanned aerial vehicle into account. Subsequently, aiming at maximizing the energy efficiency of the unmanned aerial vehicle in the unmanned aerial vehicle enabled mobile edge computing system, the bits allocation in each time slot and the trajectory of the unmanned aerial vehicle are jointly optimized. Secondly, a successive convex approximation based alternating algorithm is brought forward to deal with the non-convex energy efficiency maximization problem. Finally, it is proved that the proposed energy efficient scheme design of the unmanned aerial vehicle is superior to other benchmark schemes by the simulation results. Besides, how the performance of proposed scheme design change under different parameters is discussed.
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Zirka, Andrii, Mariia Zirka, and Natalia Kadet. "ENSURING SPEED STABILITY OF THE UNMANNED AERIAL VEHICLE IN DIF-FERENT FLIGHT MODES." Science-based technologies 58, no. 2 (July 18, 2023): 120–29. http://dx.doi.org/10.18372/2310-5461.58.17648.
Full textAbstract:
The publication deals with the issue of ensuring the stability of an unmanned aerial vehicle flight by speed. An analysis of the physical essence of the process of ensuring the unmanned aerial vehicle stability by speed is presented. Attention is paid to the flight modes in which the operator (external pilot) may encounter difficulties in the practical piloting of the unmanned aerial vehicle. The possible causes of abnormal situations when flying the unmanned aerial vehicle at speeds close to the borderline low are analyzed. Possible actions of the operator (external pilot) to return the unmanned aerial vehicle to the operating speed range from the area of instability are considered. The article shows the features of stability and controllability of an unmanned aerial vehicle in a route flight mode. Attention is paid to the complexity of piloting and safety of flight in the second modes. The article demonstrates the method of determining the boundary between the first and second flight modes. The features of unmanned aerial vehicle management and ensuring stability in the first and second modes are shown. The issue of dynamic stability of the unmanned aerial vehicle is investigated. Numerical modeling of the longitudinal movement of the unmanned aerial vehicle in free, uncontrolled flight was carried out, trajectories for the unmanned aerial vehicle of the selected configuration with a change in speed and angle of inclination of the trajectory in time were obtained. Graphs of movement trajectories with changes in speed and height over time were constructed, graphs of transient processes were constructed for cases of stable and unstable flight modes. An analysis of the external factors that most affect the flight parameters in various conditions of unmanned aerial vehicle use was carried out.
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Evdokimenkov, V. N., M. N. Krasilshchikov, and N. A. Lyapin. "THE RESEARCH OF UNMANNED AIRCRAFT EVASIVE MANEUVERS FROM ATTACK BY ENEMY AIRCRAFT ON THE BASIS OF THE GAME APPROACH." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 184 (October 2019): 21–31. http://dx.doi.org/10.14489/vkit.2019.10.pp.021-031.
Full textAbstract:
Actual level of unmanned aerial vehicles development allows us to consider them as an effective tool for solving a variety of civil and military tasks (primarily reconnaissance and strike). At the same time, one of the most important problems associated with the combat use of unmanned aerial vehicles remains to ensure their high survivability in organized counteraction conditions, the source of which can be both ground-based air defense and fighter aircraft (manned or unmanned). For this reason, the study and optimization of unmanned aerial vehicle evasion maneuvers from an enemy air attack remains relevant. In the article on the basis of game approach the algorithm of the unmanned aerial vehicle trajectory guaranteeing management providing its evasion from attack of the air opponent is offered. The study of unmanned aerial vehicle maneuverability tactically significant indicators influence on the effectiveness of the evasion maneuver. The results of simulation, demonstrated the influence of unmanned aerial vehicle maneuvering capabilities on achievement a positional advantage in order to solve the problem of evasion from enemy air attack, are presented. A series of computational experiments, whose results allow to assert that the use of the developed algorithm to guarantee control regardless of the relative initial state target UAV (Unmanned Aerial Vehicle) and UAV-interceptor with the comparability of their maneuvering capabilities in 73 % of cases provides the positional advantage of the target UAV, the UAV position relative to the interceptor makes inefficient use of the latest posted guided missiles, are performed. Note that the increase in the values of tactical indicators that reflect the maneuverability of the attacked UAV compared to the enemy, leads to the fact that in all cases, regardless of the initial position of the attacked UAV relative to the UAV-interceptor, it is ensured that it is brought beyond the zone of possible launches of guided missiles.