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Korolyuk, N., Ye Drob, O. Pershyn, and Yа Chopenko. "FEATURES OF FLIGHT PLANNING OF AN INTELLIGENT UNMANNED AIRCRAFT IN AN UNDEFINED ENVIRONMENT." Випробування та сертифікація, no. 1(7) (April 9, 2025): 123–28. https://doi.org/10.37701/ts.07.2025.14.
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In addition, the integration of artificial intelligence (AI) techniques, such as machine learning and neural networks, enhances the UAV's ability to adapt to dynamic environments by continuously refining decision-making models based on real- time data. The implementation of reinforcement learning algorithms enables UAVs to autonomously adjust their flight paths and operational strategies, improving performance in complex missions without direct human intervention. Moreover, the proposed approach allows for seamless integration with multi-agent systems, enabling coordinated UAV operations in collaborative mission scenarios. By leveraging decentralized communication protocols and distributed processing architectures, UAVs can share situational data, optimize resource allocation, and enhance overall mission efficiency. The study also emphasizes the importance of incorporating advanced sensor fusion techniques, where data from multiple onboard sensors. This multimodal data processing capability significantly enhances the UAV's ability to operate effectively in GPS-denied or signal-jammed environments, ensuring mission continuity in contested or adverse conditions. Finally, the research highlights the potential for integrating UAV decision-making frameworks with cloud-based and edge computing technologies. This hybrid computational approach allows UAVs to process critical data locally for low-latency responses while offloading complex calculations to cloud servers when high computational power is required. Such an architecture not only enhances the UAV's real- time operational capabilities but also enables post-mission analysis and optimization based on historical flight data. By incorporating these advancements, the proposed model establishes a robust foundation for next-generation autonomous UAV systems, paving the way for enhanced mission effectiveness, reduced operational risks, and improved adaptability in evolving tactical and commercial applications.
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Saman Abdi. "Flying Ad Hoc network (FANET) Communication between UAV's." Lahore Garrison University Research Journal of Computer Science and Information Technology 3, no. 2 (2019): 41–44. http://dx.doi.org/10.54692/lgurjcsit.2019.030277.
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In FANET network communication is one of the major concern, and also communication between multi-UAV frameworks. The communication is established between UAV's and base terminal through satellite or any other structure. This kind of communication create issue between UAV's, the long distance between UAV's can create blackouts in communication, because of these issues the ad hoc network can be used among the UAV's, this kind of communication network is called FANET. In this paper I will discuss the implementation of the network and how the network structure can provide reliable communication ad transfer of data between the unnamed aerial vehicles UAV's and the base terminals.
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Ramírez, Luis, Manuel Zúñiga, Gerardo Romero, David Lara, Abdelhamid Rabhi, and Claude Pegard. "Fuzzy Control of a Quadrotor for Reconstructed States Feedback Using Multiobserver." Applied Mechanics and Materials 811 (November 2015): 172–78. http://dx.doi.org/10.4028/www.scientific.net/amm.811.172.
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A type of aircraft that is currently being very reference in the area of control is the quadrotor helicopter, compared to other UAV's (Unmanned Aerial Vehicles UAV's-) has been of great interest for the research groups. Principally were developed for military applications. However, UAVs don’t have only military use, also civilian use and it is in this last field that can have multiple applications. The State variables of the system obtained are, however, in the most general case, internal operation of the system variables whose values can’t be measured directly on physical quantities. An observer is used for to reconstruct partially or completely the state vector of a system from the known inputs, outputs and the dynamic model of this. The reconstruction and calculation of the state variables is performed in a system known as Multiobserver. Applying the fuzzy representation of type Takagi-Sugeno, also known as multi-model [1], in dynamic model of the quadrotor and developing an algorithm based in law control for reconstructed states feedback, the vehicle is stabilized.
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Banerjee, Portia, and George Gorospe. "Risk Assessment of Obstacle Collision for UAVs under off-nominal conditions." Annual Conference of the PHM Society 12, no. 1 (2020): 9. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1194.
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Enabling operations of unmanned aerial vehicles (UAVs) in low-altitude airspace, As widespread applications emerge, the need of risk assessment becomes increasingly important for UAV flights beyond visual line-of-sight, especially subjected to off-nominal conditions introduced by component failures, degraded controllability or environmental disturbances such as wind gusts in an urban canyon. From a safety perspective, collision with obstacles can be detrimental not only to the vehicle and payload, but also to the structure and people on ground. Although it is safe to assume that approved UAVs would be equipped with collision avoidance systems, . In this paper, a framework is presented for computing the risk of collision with obstacle based on a UAV's predicted trajectory, . The conditional probability of trajectory deviation is generated using a Bayesian Belief Network (BBN) based on on-board sensor measurements. Further, a kinematic 3-DOF model is implemented to compute deviation in UAV's trajectory subjected to one case study of off-nominal condition i.e. wind gusts. Finally, the integrated risk factor is demonstrated on real data from experimental flights of an octocopter at NASA Langley Research Center, in presence of simulated obstacles and wind conditions. The proposed approach would enable risk-informed decision making process for timely mitigation of current and future unsafe events.
 
 
 
 
 
 
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Nguyen, Tien-Thanh, Charles Hamesse, Thomas Dutrannois, et al. "Visual-based Localization Methods for Unmanned Aerial Vehicles in Landing Operation on Maritime Vessel." Acta IMEKO 13, no. 4 (2024): 1–13. https://doi.org/10.21014/actaimeko.v13i4.1575.
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Unmanned Aerial Vehicles (UAVs) have become increasingly important in maritime operations due to their ability to perform complex tasks that are difficult or dangerous for humans. However, accurate localization of these UAVs in maritime environments especially during landing operation on maritime vessels remains a challenge, particularly in GNSS denied areas. This paper proposes two visual-based localization methods for UAVs during two different phases of landing operating on maritime vessels. The first method is used for estimating the UAV's position with respect to the vessel during the approach phase. It involves a visual UAV detection and tracking approach using the YOLO detector and OceanPlus tracker trained on a custom dataset. The UAV's position with respect to the vessel is estimated using stereo triangulation. The proposed method achieves accurate positioning with errors below 10cm during landing phases in a simulated environment. The second method is used for final landing phase. We utilize a visual Simultaneous Localization and Mapping (SLAM) algorithm, ORB-SLAM3, for real-time motion estimation of a UAV with respect to its confined landing area on a maritime platform. ORB-SLAM3 was benchmarked against multiple state-of-the-art visual SLAM and Visual Odometry (VO) algorithms and evaluated for a simulated landing scenario of a UAV at 16m height with a downward camera. The results demonstrated sufficient speed and accuracy for the landing task. These methods provide a promising solution for precise and reliable localization of UAV in different phases of the landing operation on maritime vessel, especially in GNSS denied environments.
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de La Parra, Sergio, and Javier Angel. "Low cost navigation system for UAV's." Aerospace Science and Technology 9, no. 6 (2005): 504–16. http://dx.doi.org/10.1016/j.ast.2005.06.005.
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Nugraha, Bondan Eka, and Zaenal Abidin. "QR-Code Based Visual Servoing and Target Recognition to Improve Payload Release Accuracy in Air Delivery Missions using Fully Autonomous Quad-Copter UAV." Recursive Journal of Informatics 3, no. 1 (2025): 59–67. https://doi.org/10.15294/rji.v3i1.4430.
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Abstract. Unmanned Aerial Vehicles (UAVs) are increasingly utilized for package delivery due to their efficiency and automation capabilities. UAVs can execute autonomous flight missions using Global Positioning System (GPS)-based navigation. However, challenges arise in the final stage of delivery, known as the last-mile delivery problem. The limitations of GPS-based navigation, the absence of recipient authentication, and shifting drop-off points create reliability and safety concerns. External factors such as varied environmental topography further contribute to delivery inaccuracies, highlighting the need for a more precise approach. Purpose: Many studies have explored UAV navigation and delivery systems, but challenges in last-mile delivery remain unresolved. This research introduces an improved UAV delivery system using computer vision (CV) and image-based visual servoing (IBVS) with QR Codes as location markers. The aim is to enhance UAV navigation accuracy and recipient verification, ensuring more reliable package deliveries. Methods/Study design/approach: The study implements a CV-based navigation system where QR Codes serve as landing markers for UAVs. Image processing is conducted using a companion computer linked to the UAV's flight control system. The IBVS method enables UAVs to adjust their position in real-time, minimizing GPS errors. Recipient verification is performed through QR Code scanning before releasing the package. The system is tested through computer simulations and real flight experiments to assess accuracy and effectiveness. Result/Findings: Experimental results demonstrate that UAVs equipped with the IBVS method can successfully complete package delivery missions with improved accuracy. GPS errors are corrected by aligning the UAV's position with QR Code markers, and recipient authentication is verified before package release. Real-flight tests confirm that this approach significantly enhances UAV delivery reliability compared to conventional GPS-based navigation. Novelty/Originality/Value: This research presents a novel integration of computer vision and UAV navigation for addressing last-mile delivery challenges. By leveraging IBVS and QR Code-based authentication, UAVs can perform fully autonomous, precise, and secure package deliveries. This method offers a viable solution to improve UAV-based logistics, reducing delivery errors and enhancing operational safety.
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Li, Bo, Zhipeng Yang, Zhuoran Jia, and Hao Ma. "An unsupervised learning neural network for planning UAV full-area reconnaissance path." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, no. 1 (2021): 77–84. http://dx.doi.org/10.1051/jnwpu/20213910077.
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To plan a UAV's full-area reconnaissance path under uncertain information conditions, an unsupervised learning neural network based on the genetic algorithm is proposed. Firstly, the environment model, the UAV model and evaluation indexes are presented, and the neural network model for planning the UAV's full-area reconnaissance path is established. Because it is difficult to obtain the training samples for planning the UAV's full-area reconnaissance path, the genetic algorithm is used to optimize the unsupervised learning neural network parameters. Compared with the traditional methods, the evaluation indexes constructed in this paper do not need to specify UAV maneuver rules. The offline learning method proposed in the paper has excellent transfer performances. The simulation results show that the UAV based on the unsupervised learning neural network can plan effective full-area reconnaissance paths in the unknown environments and complete full-area reconnaissance missions.
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BUICAN, George Răzvan, and Sebastian-Marian ZAHARIA. "WI-FI COMMUNICATION SYSTEM FOR A FIXED-WING TWIN-ENGINE AIRPLANE UAV." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 24 (July 28, 2023): 129–36. http://dx.doi.org/10.19062/2247-3173.2023.24.17.
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Unmanned Aerial Vehicle (UAV) systems have automated pilots that can be configured to suit various mission requirements. In this study, we assess, develop, and evaluate a bidirectional Wi-Fi communication link for an automated piloting system, utilizing the Cube Orange architecture that is mounted on a fixed-wing twin-engine airplane UAV. This Wi-Fi link enables seamless data exchange between the UAV and the ground control station. Using this bidirectional communication link, the user gains access to telemetry data, providing real-time insights into the UAV's flight parameters. Additionally, the user can send commands to the UAV, ensuring dynamic mission control and adaptability, while, the Wi-Fi link facilitates the retrieval of live video data from the UAV's onboard camera, enabling display on the command station screen or recording for future analysis and utilization. This comprehensive Wi-Fi communication system enhances the overall functionality and efficiency of the UAV's automated piloting, enabling smooth and reliable operations for various mission scenarios.
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Bougaiov, N., and Y. Danik. "Hough Transform for UAV's Acoustic Signals Detection." Advanced Science Journal 2015, no. 6 (2015): 65–68. http://dx.doi.org/10.15550/asj.2015.06.065.
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Shimi Sudha Letha, Geetanjli Pal,. "Robust Crone Control for Quadrotor type UAV's." International Journal of Innovative Research in Science, Engineering and Technology 4, no. 8 (2015): 6989–96. http://dx.doi.org/10.15680/ijirset.2015.0408039.
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LI, Yongfeng, Yongxi LYU, Jingping SHI, and Weihua LI. "UAV's air combat decision-making based on deep deterministic policy gradient and prediction." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 41, no. 1 (2023): 56–64. http://dx.doi.org/10.1051/jnwpu/20234110056.
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To solve the enemy uncertain manipulation problem during a UAV's autonomous air combat maneuver decision-making, this paper proposes an autonomous air combat maneuver decision-making method that combines target maneuver command prediction with the deep deterministic policy algorithm. The situation data of both sides of air combat are effectively fused and processed, the UAV's six-degree-of-freedom model and maneuver library are built. In air combat, the target generates its corresponding maneuver library instructions through the deep Q network algorithm; at the same time, the UAV on our side gives the target maneuver prediction results through the probabilistic neural network. A deep deterministic policy gradient reinforcement learning method that considers both the situation information of two aircraft and the prediction results of enemy aircraft is proposed, so that the UAV can choose the appropriate maneuver decision according to the current air combat situation. The simulation results show that the method can effectively use the air combat situation information and target maneuver prediction information so that it can improve the effectiveness of the reinforcement learning method for UAV's autonomous air combat decision-making on the premise of ensuring convergence.
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Emre, Şatır*, Demirtaş Elif, Agdemir Halim, and Yıldız Fatma. "SIFT-driven Vision-based Positioning for UAVs:Overcoming GPS Signal Challenges in Urban Environments." Journal of Intelligent Systems with Applications 7, no. 2 (2024): 1–7. https://doi.org/10.5281/zenodo.14585494.
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Unmanned Aerial Vehicles (UAVs) are increasingly utilized in various industries for tasks ranging from surveillance to logistics. However, GPS signal loss in dense urban environments poses significant challenges to the safe and accurate navigation of UAVs. This paper proposes a vision-based position estimation system that leverages the Scale-Invariant Feature Transform (SIFT) algorithm to provide robust UAV navigation in GPSdenied environments. By detecting keypoints in high-resolution images captured by the UAV's camera and matching these points across successive frames, the system calculates displacement and converts pixel-based movements into real-world metrics. Experimental results show that the proposed method provides a reliable alternative to GPS-based navigation with an average error rate of %6.09. The system's real-time processing and adaptability to complex urban environments make it a viable tool for enhancing UAV navigation in GPS-compromised scenarios.
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Shin, Seung Gyoon. "Crisis Management of International Sports Events by UAV's." Korean Journal of Security Convergence Management 5, no. 1 (2015): 105–17. http://dx.doi.org/10.24826/kosscom.5.1.7.
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AL-Obaidi, M. R., M. A. Mustafa, W. Z. W. Hassan, N. Azis, A. H. Sabry, and Mohd Zainal Abidin Ab-Kadir. "Improvement in energy conversion for unmanned aerial vehicle charging pad." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 2 (2020): 767. http://dx.doi.org/10.11591/ijeecs.v17.i2.pp767-773.
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<span style="font-size: 9pt; font-family: 'Times New Roman', serif;">An efficient charging station is a necessity for Unmanned Aerial Vehicle (UAV) systems. However, if that implementation adds more complexity and onboard weight, then that exercise becomes a burden rather than a benefit since UAV's engineers aim to improve efficiency by reducing the energy consumed by the software and hardware of the complete aeronautical system. This article recommends a fully automatic contact charging station for UAVs, which can charge UAVs and thus resolve flight endurance restrictions of the UAV. The ground station consists of square copper plates that are positively and negatively polarized successively in a chessboard with particular sizes to guarantee electric contact at the landing. The design methodology used with the loading station takes into account the differences in UAV orientation once the platform has landed. In addition, this innovation uses independent charging after touchdown. Thus, this technology relaxes common flight times and help to enhance general mission times. This paper presents a unique charging platform in a “chessboard” configuration, which is devised as an interconnecting interface to facilitate the charging process and overcome inaccuracies with the landing. The solution devised in this research requires few components and presents two power source options (solar &amp; mains power). Additionally, this work presents, to the best of our knowledge, a uniquely innovative recharging landing platform, which incidentally requires no additional software or changes to the UAV’s onboard software settings</span><span style="font-size: 9pt; font-family: Arial, sans-serif;">.</span>
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Airlangga, Gregorius. "Optimizing UAV Navigation: A Particle Swarm Optimization Approach for Path Planning in 3D Environments." Buletin Ilmiah Sarjana Teknik Elektro 5, no. 4 (2024): 606–13. https://doi.org/10.12928/biste.v5i4.9696.
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This study explores the application of Particle Swarm Optimization (PSO) in Unmanned Aerial Vehicle (UAV) path planning within a simulated three-dimensional environment. UAVs, increasingly prevalent across various sectors, demand efficient navigation solutions that account for dynamic and unpredictable elements. Traditional pathfinding algorithms often fall short in complex scenarios, hence the shift towards PSO, a bio-inspired algorithm recognized for its adaptability and robustness. We developed a Python-based framework to simulate the UAV path planning scenario. The PSO algorithm was tasked to navigate a UAV from a starting point to a predetermined destination while avoiding spherical obstacles. The environment was set within a 3D grid with a series of waypoints, marking the UAV's trajectory, generated by the PSO to ensure obstacle avoidance and path optimization. The PSO parameters were meticulously tuned to balance the exploration and exploitation of the search space, with an emphasis on computational efficiency. A cost function penalizing proximity to obstacles guided the PSO in real-time decision-making, resulting in a collision-free and optimized path. The UAV's trajectory was visualized in both 2D and 3D perspectives, with the analysis focusing on the path's smoothness, length, and adherence to spatial constraints. The results affirm the PSO's effectiveness in UAV path planning, successfully avoiding obstacles and minimizing path length. The findings highlight PSO's potential for practical UAV applications, emphasizing the importance of parameter optimization. This research contributes to the advancement of autonomous UAV navigation, indicating PSO as a viable solution for real-world path planning challenges.
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Zheng Yu, Li. "Study on UAV Based on Fused Filament Fabrication." International Journal of Engineering Continuity 1, no. 1 (2022): 24–35. http://dx.doi.org/10.58291/ijec.v1i1.36.
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Air Unmanned Aerial Vehicles (UAVs) have the characteristics of simple structure and convenient carrying, while quadrotor UAVs have better manoeuvrability, can achieve fixed-point hover, and have vertical takeoff and landing capabilities. Additive Manufacturing (AM) is also often referred to as 3D printing. In the past ten years, AM technology has received extensive attention. Among the seven categories of AM technologies released by the American Society for Testing and Materials, Fused Filament Fabrication (FFF) is one of the most widely used and essential processing technologies in additive manufacturing. It mainly manufactures models by extruding molten wire (such as plastics, resins, composites, etc.). First, consider the additive manufacturing of the quadrotor aerial UAV entirely through fused filament fabrication, and control the UAV's flexibility by adjusting the filling material's parameter during the additive manufacturing process. However, the increased flexibility makes it difficult to control the UAV, and the structural, aerodynamic and aeroelastic effects must be further explored.
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Harras, Mohamed Salim, Shadi Saleh, Batbayar Battseren, and Wolfram Hardt. "Vision-based Propeller Damage Inspection Using Machine Learning." Embedded Selforganising Systems 10, no. 7 (2023): 43–47. http://dx.doi.org/10.14464/ess.v10i7.604.
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Unmanned Aerial Vehicles (UAVs) play an increasingly pivotal role in day-to-day rescue operations, offering crucial aerial support in challenging terrain and emergencies, such as drowning. Drone hangars are strategically deployed to ensure swift response in remote locations, overcoming range-limiting constraints posed by battery capacity. However, the UAV's airworthiness, typically ensured through conventional inspections by a technical individual, is paramount to guarantee mission safety. Over time, UAVs are prone to degradation through contact with the external environment, with propellers often being the cause of flight instability and potential crashes. This paper presents an innovative approach to automate UAV propeller inspection to avert incidents preemptively. Leveraging visual recordings and deep learning methodologies, we train a Convolutional Neural Network (CNN) model using both passive and active learning strategies. Our approach successfully detects physical damage on propellers with an impressive accuracy of 85.8%, promising a significant improvement in maintaining UAV flight safety and effectiveness in rescue operations.
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Hao, Jiacheng, and Yongping Li. "Aerodynamic analysis of the hybrid wing model for an agricultural unmanned aerial vehicle." Journal of Physics: Conference Series 2947, no. 1 (2025): 012013. https://doi.org/10.1088/1742-6596/2947/1/012013.
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Abstract In modern agriculture, unmanned aerial vehicles (UAVs) play a pivotal role in two key operational scenarios: plant protection and land mapping. In the plant protection scenario, UAVs require excellent hovering capabilities, whereas in the land mapping scenario, they need to maintain a certain level of cruising ability. To meet these diverse performance requirements, a hybrid wing design combining tilt-wing and propeller is used in the agricultural UAV. After the design of the propeller and wing was completed, Computational Fluid Dynamics (CFD) was employed to conduct aerodynamic analysis of the hybrid-wing composite model, laying the theoretical foundation for the practical application of the hybrid-wing UAV in agriculture. The findings reveal that when the UAV's pitch angle exceeds 20 degrees, an increase in propeller speed significantly alters the flow field structure around the wing, resulting in a reduction in the lift-to-drag ratio. To ensure superior aerodynamic efficiency of the wing, the propeller speed should be maintained below 1500 rpm.
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Xing, Xiaojun, Xiaoran Chen, Longliang Huang, and Dongsheng Fan. "Study on Active Fault Tolerant Flight Control Systems for Quadrotor UAV with Actuator Failures." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 4 (2018): 748–53. http://dx.doi.org/10.1051/jnwpu/20183640748.
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The rotor blades' fatigue fracture of Quadrotor UAV easily causes the instability or even crash of the UAV due to high-load and long-endurance flight missions. Under this circumstances, an active fault-tolerant flight controller of Quadrotor UAV based on integral sliding mode is proposed to strengthen the fault-tolerant capability of UAV's attitude and position. First of all, nonlinear mathematical model of quadrotor UAV with actuator failures is derived by kinematics and dynamics analysis. Secondly, a fault observer is constructed to determine when the actuator failure will occur, subsequently the UAV's attitude and position flight controllers are compensated using integral sliding mode control. The digital simulation and flight test shows that the controller has powerful fault-tolerant capacity and preferable dynamic and static characteristics which can stabilize the attitude and position responses of UAV when partial failure of single blade occurs.
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Gašparović, M., and D. Gajski. "TWO-STEP CAMERA CALIBRATION METHOD DEVELOPED FOR MICRO UAV'S." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 829–33. http://dx.doi.org/10.5194/isprs-archives-xli-b1-829-2016.
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The development of unmanned aerial vehicles (UAVs) and continuous price reduction of unmanned systems attracted us to this research. Professional measuring systems are dozens of times more expensive and often heavier than "amateur", non-metric UAVs. For this reason, we tested the DJI Phantom 2 Vision Plus UAV. Phantom’s smaller mass and velocity can develop less kinetic energy in relation to the professional measurement platforms, which makes it potentially less dangerous for use in populated areas. In this research, we wanted to investigate the ability of such non-metric UAV and find the procedures under which this kind of UAV may be used for the photogrammetric survey. It is important to emphasize that UAV is equipped with an ultra wide-angle camera with 14MP sensor. Calibration of such cameras is a complex process. In the research, a new two-step process is presented and developed, and the results are compared with standard one-step camera calibration procedure. Two-step process involves initially removed distortion on all images, and then uses these images in the phototriangulation with self-calibration. The paper presents statistical indicators which proved that the proposed two-step process is better and more accurate procedure for calibrating those types of cameras than standard one-step calibration. Also, we suggest two-step calibration process as the standard for ultra-wideangle cameras for unmanned aircraft.
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Oh, Soo-Hun, and Jin-Young Suk. "Area Search of Multiple UAV's based on Evolutionary Robotics." Journal of the Korean Society for Aeronautical Space Science 38, no. 4 (2010): 352–62. http://dx.doi.org/10.5139/jksas.2010.38.4.352.
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Gašparović, M., and D. Gajski. "TWO-STEP CAMERA CALIBRATION METHOD DEVELOPED FOR MICRO UAV'S." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 829–33. http://dx.doi.org/10.5194/isprsarchives-xli-b1-829-2016.
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The development of unmanned aerial vehicles (UAVs) and continuous price reduction of unmanned systems attracted us to this research. Professional measuring systems are dozens of times more expensive and often heavier than "amateur", non-metric UAVs. For this reason, we tested the DJI Phantom 2 Vision Plus UAV. Phantom’s smaller mass and velocity can develop less kinetic energy in relation to the professional measurement platforms, which makes it potentially less dangerous for use in populated areas. In this research, we wanted to investigate the ability of such non-metric UAV and find the procedures under which this kind of UAV may be used for the photogrammetric survey. It is important to emphasize that UAV is equipped with an ultra wide-angle camera with 14MP sensor. Calibration of such cameras is a complex process. In the research, a new two-step process is presented and developed, and the results are compared with standard one-step camera calibration procedure. Two-step process involves initially removed distortion on all images, and then uses these images in the phototriangulation with self-calibration. The paper presents statistical indicators which proved that the proposed two-step process is better and more accurate procedure for calibrating those types of cameras than standard one-step calibration. Also, we suggest two-step calibration process as the standard for ultra-wideangle cameras for unmanned aircraft.
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Li, Xu, Xiaoping Zhu, Zhou Zhou, and Xiaoping Xu. "The Numerical Simulation of UAV's Landing in Ship Airwake." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 37, no. 1 (2019): 186–94. http://dx.doi.org/10.1051/jnwpu/20193710186.
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In order to investigate the influence of ship airwake on aerodynamic characteristics of the carrier-based aircraft, UAV's landings in different winds over deck were simulated by Overset Mesh method. Firstly, mesh factors, steady and unsteady methods were compared based on single aircraft carrier. The results showed that the boundary layer mesh around ship didn't show obvious influence for our simulation, and the calculation results between the steady and unsteady time average showed a similar trend. Then, aircraft carrier's flow fields in three wind directions were analyzed, and ship airwake variations with different direction winds over deck were concluded as well. Next, the reliability of Overset Mesh was verified though single UAV's landing simulation. Finally, the coupled flow fields of UAV/ship were studied. The calculation results indicated that aircraft was always in a low dynamic pressure condition, the lift and pitching moment of UAV had apparent changes in landing. Meanwhile, the aerodynamic fluctuations of UAV also revealed differences in different wind directions. The simulation results can be regarded as a reference for the safety assessment of carrier-based aircraft's landing and its control in the future.
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Półka, Marzena, Szymon Ptak, and Łukasz Kuziora. "The Use of UAV's for Search and Rescue Operations." Procedia Engineering 192 (2017): 748–52. http://dx.doi.org/10.1016/j.proeng.2017.06.129.
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Li, Xiaoming. "A Software Scheme for UAV's Safe Landing Area Discovery." AASRI Procedia 4 (2013): 230–35. http://dx.doi.org/10.1016/j.aasri.2013.10.035.
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Zhang, Dongxiao, Xing Zhou, Erwei Cheng, Haojiang Wan, and Yazhou Chen. "Investigation on Effects of HPM Pulse on UAV's Datalink." IEEE Transactions on Electromagnetic Compatibility 62, no. 3 (2020): 829–39. http://dx.doi.org/10.1109/temc.2019.2915285.
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Govardhan, Dr D., Jatagni Prasanna, Vuppalapu keerthan, and Erra Anish. "DESIGN AND FABRICATION OF UAV FOR DEFENCE APPLICATIONS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–9. https://doi.org/10.55041/ijsrem40318.
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Because of their adaptability, affordability, and capacity to carry out a variety of tasks, unmanned aerial vehicles, or UAVs, have become essential components of contemporary defense plans. The design and manufacturing process of a UAV specifically suited for defense applications is presented in this study. Modern technology, lightweight materials, and sophisticated aerodynamics are all included into the UAV's design to guarantee optimum performance and dependability under demanding operating conditions. The fabrication process is also described in length, emphasizing the materials chosen, the manufacturing methods used, and the quality control procedures used to satisfy exacting military requirements. Improved target acquisition, observation, reconnaissance, and other mission capabilities essential to contemporary defense operations are promised by the resulting UAV. Keywords— UAV, Defence Applications, Design, Fabrication, Aerodynamics, Surveillance, Reconnaissance, Target Acquisition, Components.
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Arief, Ulfah Mediaty, Pramudyo Wicaksono, and Indah Novi Yarman. "Design and Development of Aluminum Frame Unmanned Aerial Vehicle Hexacopter Configuration to Support Heavy Payload." Elinvo (Electronics, Informatics, and Vocational Education) 7, no. 1 (2022): 1–9. http://dx.doi.org/10.21831/elinvo.v7i1.41097.
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Previous research has proven that the use of Unmanned Aerial Vehicles (UAVs) can increase the efficiency of human work. However, the design of the usefulness of UAV is considered to be limited. This limitation, for example, is that the UAV's lifting capacity is only capable of lifting 3-5 kilograms of load on average. In addition, the main material of the UAV frame also uses carbon fiber produced by build-up factories abroad, this makes the UAV design less economical. Furthermore, this study discusses the development of the UAV's lifting capacity of 25 kilograms to be able to lift the pesticide liquid load and considers the economic value. The hexacopter type multicopter UAV design was chosen in this study, equipped with 6 main propulsion rotors capable of carrying out its main task of lifting heavy loads, compared to the multicopter type of fewer than 6 rotors. The design is carried out by calculating the lifting force and analyzing the strength structure of the frame material with the help of AutoDesk Inventor software. The final result of the study was that the aluminum-based heavy-lift hexacopter drone was able to support heavy loads, as evidenced by structural analysis simulations resulting in a safety factor value of 1.67 ul, equipped with a 120KV rotor, 23x88 inch propeller, and 6S lipo battery 16,000 mAh, with a total weight of the frame 15kg drone flying for 19 minutes, with an additional 10kg of load the drone can fly for 6 minutes. This research can be developed by adding a nozzle or griper so that it can lift the pesticide spraying tank on a large enough agricultural land.
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Çoban, Sezer. "Optimization of PID Controllers for UAVs Using SPSA Algorithm for Enhanced Flight Performance." Journal of Aviation 9, no. 1 (2025): 28–33. https://doi.org/10.30518/jav.1603792.
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This paper presents the design and optimization of a longitudinal control system for a fixed-wing Unmanned Aerial Vehicle (UAV). The study focuses on the development of a state-space model based on the UAV's aerodynamic parameters. The system matrices (A and B) are derived from the vehicle's physical properties and aerodynamic coefficients, allowing for an accurate representation of the UAV's response to control inputs. A PID controller was used to regulate the pitch angle, and its parameters are optimized using the Simultaneous Perturbation Stochastic Approximation (SPSA) method. This optimization approach proves to be effective in fine-tuning the control gains by minimizing the error in the pitch response under realistic flight conditions. The study emphasizes the robustness of SPSA, particularly in high-dimensional and noisy environments.The results demonstrate the improved autonomous performance of the UAV, with the PID controller successfully achieving the desired pitch angle control.
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Sayed Kotb, Mohamed El, Wagdy R. Anis, and Ahmed A. Abd-Elhafez. "Towards using UAV for improving 5G cellular communication systems." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 265. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp265-272.
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Unmanned aerial vehicles (UAVs) have sparked a lot of interest in the wireless networking community as an emerging subject in aerial robotics. The UAV environment can be used to improve UAV communications in various ways. These smart devices cater for a broad variety of wireless technologies and applications because of UAV's inherent features related to versatile mobility in 3D space, autonomous operations as well as intelligent positioning. This study will investigate the convergence synergies between 5G/B5G mobile systems and UAV technologies, with the UAV being integrated into current cellular networks as a modern aerial user equipment (UE). In this integration, UAVs play the function of cellular flying customers, and are hence referred to as cellularly linked UAVs (a.k.a. UAVUE, drone-UE, 5G-connected drone, or aerial user). The major goal of this research is to provide a thorough analysis of the integration task, as well as major technical breakthroughs from 5G/B5G and current work in prototyping architecture and field trials that support cell-based UAVs. This study examines recent 3GPP standards advances as well as socio-economic challenges that must be addressed before this promising technology can be properly implemented. There are already some accessible issues clearing the way for potential study opportunities.
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Li, Ming, Qinghua Ren, and Jialong Wu. "Exploring UAV's multi-domain joint anti-jamming intelligent decision algorithm." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, no. 2 (2021): 367–74. http://dx.doi.org/10.1051/jnwpu/20213920367.
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To understand the complex communication environment of a UAV in battlefield, its unknown channel statistics information and poor intelligent jamming and anti-jamming capability, the multi-domain anti-jamming problem is studied, and a multi-domain joint anti-jamming intelligent decision algorithm is proposed. First, the channel selection method is adopted to deal with jamming in the frequency domain. A multi-arm slot machine's channel selection model is established, and the channel interference level is judged. Secondly, the moderate interference channel is suppressed in the power domain, and the model of its Stackelberg game is established. The game equalization is solved to obtain the best transmission power and reduce the overhead caused by channel switching. The simulation results show that the long-term rewards of the intelligent decision algorithm are significantly higher than those of the traditional multi-arm slot machine's algorithm and the random selection algorithm and that the average throughput of the communication system of the UAV is improved, thus proving the superiority of the intelligent decision algorithm.
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Choi, Seung Kie, Jung Ho Moon, and Joon Soo Ko. "Airworthiness Case Study for the Tactical UAV's Flight Control System." Journal of the Korea Institute of Military Science and Technology 17, no. 4 (2014): 430–35. http://dx.doi.org/10.9766/kimst.2014.17.4.430.
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Xie, Songyun, Yabing Li, Wei Wang, Ya Meng, and Xinzhou Xie. "Assessment of UAV's Operator Cognitive State Based on Behavior Signals." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 4 (2018): 715–21. http://dx.doi.org/10.1051/jnwpu/20183640715.
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For exploring the relationship between the mental or cognitive state and metric of vigilance test for unmanned aerial vehicle (UAV), a vigilance state evaluation method and sphere of application based on behavior signals is established. A classical vigilance test avoiding to crash is set. During the experiments, the subjective ratings as well as behavior signals (Response Time, Lapse) are recording. The dynamic changing of behavior signals is analyzed using statistical analysis. The results demonstrate that compared with continuous PVT test, the subject's mental workload in rest PVT test decreases dramatically. Compared other metrics, the speed of response time can reflect the dynamic changing of subject's mental state. The metric of Q-50 has a strong robustness for outlier of subject. Considering that the metrics have strong correlation with operator's cognitive state, they can effectively analyze the different workload.
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Liu, Yijin. "Modelling and simulation of quadcopter UAV based on PID control." Applied and Computational Engineering 75, no. 1 (2024): 202–10. http://dx.doi.org/10.54254/2755-2721/75/20240539.
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In the evolving field of aerial robotics, the precise control and stabilization of Unmanned Aerial Vehicles (UAVs), particularly quadrotors, stand as critical challenges due to their inherent nonlinear dynamics and susceptibility to external disturbances. This study embarks on addressing these challenges by first establishing a comprehensive mathematical model of a quadrotor's dynamics utilizing the Newton-Euler formulation. This foundational model serves as the basis for implementing a Proportional-Integral-Derivative (PID) control strategy, aimed at maintaining the UAV's desired flight trajectory and enhancing its stability against environmental perturbations. The effectiveness of the PID control approach is meticulously evaluated through a series of simulation tests conducted within the MATLAB/Simulink environment, focusing on the quadrotor's pitch, roll, and yaw control channels. The outcomes of these simulations provide convincing evidence of the PID scheme's ability to ensure rapid response times and precise attitude regulation, underpinning its viability for robust quadrotor UAV operations across diverse operational scenarios. Moreover, this research not only establishes a critical step towards the autonomous operation of UAVs but also accentuates the significance of sophisticated control mechanisms in the advancement of aerial robotics technology.
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Glugan, F., V. Lysenko, S. Shvorov, et al. "UAV NAVIGATION AND MANAGEMENT SYSTEM BASED ON THE SPECTRAL PORTRAIT OF TERRAIN." Energy and automation 2023, no. 3 (2023): 54–65. http://dx.doi.org/10.31548/energiya3(67).2023.054.
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This paper focuses on investigating the navigation of unmanned aerial vehicles (UAVs) using spatial-spectral representations of the terrain. This type of navigation is valuable in situations where GPS receivers and other navigation devices fail, but its implementation requires resolving several methodological challenges. One crucial aspect to consider is the impact of changes in illumination on the spectral characteristics of objects. The adoption of satellite-based solutions relying on optical patterns is not suitable for low-flying UAVs, and instead, utilizing service data from the spectral sensors on the UAV's meter display holds greater promise. This study examines an existing method that addresses illumination changes by utilizing the LightValue parameter for different cameras, both in laboratory and field conditions. Through experimentation, it has been established that the relationship between LightValue and the intensities of color components varies individually across different cameras. To correct for natural light variations, it is proposed to employ experimentally derived relationships specific to the sensory equipment brands. When designing navigation systems based on spectral representations of the terrain, it is advisable to select objects that exhibit the most consistent optical changes with respect to illumination.
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Müller, Mark, Leon Liebenberg, Edward H. Mathews, and Peter W. Young. "Quick Estimates for Analysis and Prediction of the Flight Mechanics of Unmanned Aerial Vehicles." International Journal of Mechanical Engineering Education 40, no. 2 (2012): 121–45. http://dx.doi.org/10.7227/ijmee.40.2.3.
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Unmanned aerial vehicles (UAVs) are commonly employed in undergraduate engineering curricula. Limited literature is, however, available for the lay design engineer or engineering student regarding the modelling, simulation and analysis of the flight dynamics of small UAV systems, especially pertaining to flight dynamics modelling. There is great demand for unskilled UAV designers to predict the stability of new designs, quickly, cheaply, and with relative ease, preferably during the conceptual design stage. This paper summarizes some salient techniques for performing quick characterization of the longitudinal dynamics of a small, electrically propelled UAV, by using freely available software such as Datcom+, AVL, XFLR5 and MotoCalc. The simulation outputs compare favourably with experimental results from a wind tunnel. The software was also used to provide accurate estimates of coefficients required for performing an analysis of the UAV's longitudinal dynamics. The proffered analytical techniques should greatly benefit lay design engineers and engineering students venturing into the realm of UAV research.
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Ma, Zhenyu, Xiaoping Zhu, and Zhou Zhou. "Taxiing Characteristic Analysis and Control for Full-Wing Solar-Powered Unmanned Aerial Vehicle." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 37, no. 1 (2019): 7–12. http://dx.doi.org/10.1051/jnwpu/20193710007.
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To solve the taxiing control problem of the full-wing solar-powered unmanned aerial vehicle (UAV) without front wheel steering servo and rudder, a control approach using differential propeller thrust to control the taxiing is proposed in this paper. Firstly, the taxiing mathematical models of two kinds of full-wing solar-powered UAVs with the front wheels turning freely or fixed are established. Meanwhile, the taxiing characteristics of full-wing solar-powered UAV in different taxiing speeds are analyzed. Secondly, based on the linear active disturbance rejection control (LADRC) theory, a yaw angle controller is designed by using differential propeller thrust as the control output. Finally, a straight line trajectory tracking scheme which is suitable for take-off and landing taxiing is designed on the base of improved vector field theory. Simulation results show that the designed controller has a good control effect on full-wing solar-powered UAV's take-off and landing taxiing periods, and better robustness.
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Airlangga, Gregorius. "Advancing UAV Path Planning System: A Software Pattern Language for Dynamic Environments." Buletin Ilmiah Sarjana Teknik Elektro 5, no. 4 (2023): 475–97. https://doi.org/10.12928/biste.v5i4.9407.
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In the rapidly advancing domain of Unmanned Aerial Vehicle (UAV) technologies, the capability to navigate dynamic and unpredictable environments is paramount. To this end, we present a novel design pattern framework for real-time UAV path planning, derived from the established Pattern Language of Program Community (PLOP). This framework integrates a suite of software patterns, each selected for its role in enhancing UAV operational adaptability, environmental awareness, and resource management. Our proposed framework capitalizes on a blend of behavioral, structural, and creational patterns, which work in concert to refine the UAV's decision-making processes in response to changing environmental conditions. For instance, the Observer pattern is employed to maintain real-time environmental awareness, while the Strategy pattern allows for dynamic adaptability in the UAV's path planning algorithm. Theoretical analysis and conceptual evaluations form the backbone of this research, eschewing empirical experiments for a detailed exploration of the design's potential. By offering a systematic and standardized approach, this research contributes to the UAV field by providing a robust theoretical foundation for future empirical studies and practical implementations, aiming to elevate the efficiency and safety of UAV operations in dynamic environments.
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RU, Chang-Jian, Rui-Xuan WEI, Jing DAI, Dong SHEN, and Li-Peng ZHANG. "Autonomous Reconfiguration Control Method for UAV's Formation Based on Nash Bargain." Acta Automatica Sinica 39, no. 8 (2014): 1349–59. http://dx.doi.org/10.3724/sp.j.1004.2013.01349.
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Bras, Florent Le, Robert Mahony, and Tarek Hamel. "Output based Observation and Control for Visual Servoing of VTOL UAV's." IFAC Proceedings Volumes 41, no. 2 (2008): 8558–63. http://dx.doi.org/10.3182/20080706-5-kr-1001.01447.
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GLADUN, A. Ya, and K. O. KHALA. "Ontology-Oriented Multy-Agent System for Decentralized Control of UAV's Group." Kibernetika i vyčislitelʹnaâ tehnika 216, no. 2(216) (2024): 41–69. http://dx.doi.org/10.15407/kvt216.02.041.
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Introduction. Today, UAVs are becoming an increasingly important tool for performing complex tasks in various fields of application, both civil (economic) and military, as they are particularly effective in dynamically uncertain environments with hard-to-reach areas. In addition, technological advances such as blockchain, artificial intelligence (AI) and machine learning have enabled the development of updated and improved UAV systems. To create and deploy a swarm of UAVs, coordinate actions, manage, and exchange data, a model of a multi-agent system (MAC) based on an ontological representation of knowledge is proposed. This model enables a swarm of UAVs to effectively make decisions in various situations while performing assigned tasks. This approach enables the safety, reliability, and efficiency of the tasks of the UAV group. The purpose of the paper is to develop further the theoretical and practical foundations of the integration of the multi-agent system (MAS) based on the ontological representation of knowledge with the UAV network. This involves the development of a MAS architecture and a hierarchical set of ontologies of different levels. The goal is to create a common data description lan guage, define data semantics to ensure data uniqueness and consistency, provide support for decision-making during UAV swarm management, and swarm survivability in the event of aircraft failures or loss. It is necessary to develop algorithms and a method of dividing a complex task into sub-tasks in a swarm of UAVs among all MAS agents. This is to ensure reliable exchange of messages (data) between agents during the joint performance of the assigned task, and the possibility of dynamic redistribution of roles between UAV agents as needed. Methods. During the research, the general theory of intelligent information technologies was applied; agent theory methods in particular intelligent BDI agents; methods of analyzing the performance of wireless data exchange networks; theory of combinatorial optimization for dividing tasks into subtasks; methods of ontological analysis and descriptive logic to create an ontological hierarchical model of the subject area; methods of enriching ontological models from external semantically marked information resources. Results. As a result of the performed scientific research, the MAS architecture was proposed and its main functions were determined for the decentralized control of a swarm of UAVs. A set of agents with assigned roles was formed, who jointly (cooperatively) perform tasks, exchanging messages, and information with each other, which ensures the survivability of the system (in case of a failure or loss of the device, its task must be distributed among other drones). Plans and scenarios of MAS actions for various situations and means of coordinating actions between agents have been developed to perform the mission by a swarm of UAVs. A hierarchical ontological model of the subject area related to the work of the UAV swarm has been created. The algorithms and methods were based on the integration of semantic technologies that support the MAS during the execution of the UAV swarm mission, decision-making, assessment of the dynamic environment, and response to its changes. Conclusions. An original approach, algorithms, and method for improving the system of decentralized control of a group of UAVs were proposed. Expanding the functionality of the system for maintaining the interaction of a swarm of unmanned systems based on MAS artificial intelligence was suggested. This system was based on ontological models. The models describe knowledge of the subject area, processes of UAV swarm operation, scenarios of actions in difficult situations, distribution of roles to agents, principles of planning, and coordination. The proposed MAS is integrated with the UAV swarm software platform, which makes it possible to improve the efficiency of the decentralized control system and adapt UAVs to dynamic changes in the environment. The practical result of the work will be a prototype of a software agent system that interacts with ontologies while performing simple tasks. The economic significance of the work consists of focusing on the creation of new intelligent information technologies, which were based on AI and knowledge of the subject area, and this significantly increases the efficiency of the functioning of modern systems. Keywords: multi-agent system, ontology, formalization of knowledge, UAV, drone, decentralized control, task allocation.
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Konar, Mehmet. "Redesign of morphing UAV's winglet using DS algorithm based ANFIS model." Aircraft Engineering and Aerospace Technology 91, no. 9 (2019): 1214–22. http://dx.doi.org/10.1108/aeat-09-2018-0255.
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Purpose The purpose of this paper is to present a novel approach based on the differential search (DS) algorithm integrated with the adaptive network-based fuzzy inference system (ANFIS) for unmanned aerial vehicle (UAV) winglet design. Design/methodology/approach The winglet design of UAV, which was produced at Faculty of Aeronautics and Astronautics in Erciyes University, was redesigned using artificial intelligence techniques. This approach proposed for winglet redesign is based on the integration of ANFIS into the DS algorithm. For this purpose, the cant angle (c), the twist angle (t) and taper ratio (λ) of winglet are selected as input parameters; the maximum value of lift/drag ratio (Emax) is selected as the output parameter for ANFIS. For the selected input and output parameters, the optimum ANFIS parameters are determined by the DS algorithm. Then the objective function based on optimum ANFIS structure is integrated with the DS algorithm. With this integration, the input parameters for the Emax value are obtained by the DS algorithm. That is, the DS algorithm is used to obtain both the optimization of the ANFIS structure and the necessary parameters for the winglet design. Thus, the UAV was reshaped and the maximum value of lift/drag ratio was calculated based on new design. Findings Considerable improvements on the max E are obtained through winglet redesign on morphing UAVs with artificial intelligence techniques. Research limitations/implications It takes a long time to obtain the optimum Emax value by the computational fluid dynamics method. Practical implications Using artificial intelligence techniques saves time and reduces cost in maximizing Emax value. The simulation results showed that satisfactory Emax values were obtained, and an optimum winglet design was achieved. Thus, the presented method based on ANFIS and DS algorithm is faster and simpler. Social implications The application of artificial intelligence methods could be used in designing more efficient aircrafts. Originality/value The study provides a new and efficient method that saves time and reduces cost in redesigning UAV winglets.
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Wu, Ye. "Research on constant current output control for wireless charging of UAVs." Theoretical and Natural Science 95, no. 1 (2025): 160–68. https://doi.org/10.54254/2753-8818/2024.21349.
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In the context of an increasingly intelligent and modernized society, Unmanned Aerial Vehicles (UAVs), commonly known as drones, have been extensively deployed across various sectors. Despite their broad applications, the operational longevity of UAVs is often constrained by the limitations of their onboard battery capacities, particularly during extensive and prolonged missions. Wireless power supply has emerged as an efficacious solution to this challenge, potentially extending the operational duration of UAVs. However, the wireless charging process for UAVs is subject to various influencing factors, and maintaining a constant current is essential for the long-term health and service life of the UAV's lithium batteries. This paper introduces a constant current output control scheme for the wireless charging of UAVs to mitigate these issues. The primary research focuses on initially formulating the expression for the output current, investigating the impact of mutual inductance perturbation, and various system parameters on the output current. It further delineates the conditions under which the output current remains invariant to load impedance variations. Subsequently, to counteract the perturbations in mutual inductance, the paper proposes a constant-current output control scheme predicated on the estimation of mutual inductance. Specifically, by employing an offline-trained Artificial Neural Network (ANN), the mutual inductance can be estimated solely based on the current measurements from the transmitter side. Finally, to enhance the system's responsiveness to the continuous variation in mutual inductance, a Radial Basis Function (RBF) network is employed as an alternative to the ANN, thereby improving the system's agility.
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S., Ananthi, N. Sirija, Shanmugapriya R., and Rajeswari M. "Design and Development of a Solar- Powered UAV Using IoT and Machine Learning." E3S Web of Conferences 387 (2023): 05005. http://dx.doi.org/10.1051/e3sconf/202338705005.
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The proposed solar-powered UAV utilizes photovoltaic panels to convert solar energy into electrical power to supply the onboard electronic systems, including the propulsion system and sensors. To enhance the UAV's performance, loT technology is employed to enable the communication and coordination of the UAV with other connected devices, such as ground stations and sensors. This allows for real-time data collection and analysis, as well as improved situational awareness for the UAV. To optimize the performance of the UAV, SVM is used as a machine learning algorithm for object detection and classification. SVM has been widely used in UAVs to detect and classify objects in aerial images, and has been proven to be effective in a variety of applications. The proposed design utilizes SVM to detect and classify objects of interest, such as crops, buildings, and infrastructure, and to assist in the navigation and control of the UAV. The design and development of the proposed solar-powered UAV involves several key components, including the solar panels, propulsion system, control system, and communication system.
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Liu, Siqi, and Junqiang Bai. "Exploration of high-altitude dynamic soaring based on six-degree-of-freedom model." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, no. 4 (2021): 703–11. http://dx.doi.org/10.1051/jnwpu/20213940703.
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Dynamic soaring is an emerging flight range-extension technology that effectively reduces UAV's energy consumption by deriving wind energy from lateral gradient wind fields. Comparing with the small UAV's near the surface, the application of dynamic soaring technology in the high-altitude long-endurance flight requires the additional consideration of the influence of sustained side wind, the influence of the sideslip angle cannot be ignored. This puts higher requirements on the flight dynamics model. In this paper, the dynamic model for the high-altitude dynamic soaring based on the six-degree-of-freedom equation is modeled to replace the traditional mass point model; the energy change principle of the high-altitude dynamic gliding is derived; the effect of the high-altitude wind field on the dynamic soaring UAV is analyzed; and the way to get optimal wind field energy acquisition and energy saving efficiency are analyzed. The results show that the dynamics model based on the six-degree-of-freedom equation can more realistically reflect at high altitude; the application of dynamic soaring can effectively improve the range of the high-altitude UAV; the wind direction at high-altitude wind field has a significant effect on the dynamic soaring efficiency.
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Ding, Rong, Haiming Jin, Dong Xiang, et al. "Soil Moisture Sensing with UAV-Mounted IR-UWB Radar and Deep Learning." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 1 (2022): 1–25. http://dx.doi.org/10.1145/3580867.
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Wide-area soil moisture sensing is a key element for smart irrigation systems. However, existing soil moisture sensing methods usually fail to achieve both satisfactory mobility and high moisture estimation accuracy. In this paper, we present the design and implementation of a novel soil moisture sensing system, named as SoilId, that combines a UAV and a COTS IR-UWB radar for wide-area soil moisture sensing without the need of burying any battery-powered in-ground device. Specifically, we design a series of novel methods to help SoilId extract soil moisture related features from the received radar signals, and automatically detect and discard the data contaminated by the UAV's uncontrollable motion and the multipath interference. Furthermore, we leverage the powerful representation ability of deep neural networks and carefully design a neural network model to accurately map the extracted radar signal features to soil moisture estimations. We have extensively evaluated SoilId against a variety of real-world factors, including the UAV's uncontrollable motion, the multipath interference, soil surface coverages, and many others. Specifically, the experimental results carried out by our UAV-based system validate that SoilId can push the accuracy limits of RF-based soil moisture sensing techniques to a 50% quantile MAE of 0.23%.
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Liu, Weile. "Analysis of UAV data communication stability method in extreme environment." Applied and Computational Engineering 53, no. 1 (2024): 131–35. http://dx.doi.org/10.54254/2755-2721/53/20241310.
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In order to get in touch with the affected area smoothly after the disaster, this paper uses drones as air base stations. Their high mobility and sensitivity make them apt for such critical roles. However, during extreme weather conditions, these unmanned aerial vehicles (UAVs) encounter various challenges that can impair their stability and, consequently, their ability to serve as reliable air base stations. As a result, signal transmission can be interrupted or severely limited. Among the common factors affecting UAV stability are strong winds, temperature fluctuations, heavy rainfall, and electromagnetic interference. These factors can cause the UAVs to deviate from their intended flight paths, drop in altitude, or even lose connection with the ground control. As a consequence, the reliability of communication, so critical in emergency situations, gets compromised. To address the problem of degraded UAV stability, several solutions have been proposed and implemented. One approach involves enhancing the drone's onboard stabilization systems, incorporating advanced algorithms that allow it to autonomously adjust to environmental changes. Another strategy is the deployment of a network of drones, ensuring redundancy. If one drone faces difficulties, another can take over, maintaining the communication link. Furthermore, advances in materials science have led to the development of UAVs with more robust structures, capable of withstanding the rigors of adverse weather conditions. Lastly, the use of ground-based boosters or repeaters can amplify signals, ensuring that even if a UAV's transmission is weak, the communication remains uninterrupted.
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Swetha, S., R. Anandan, and K. Kalaivani. "An investigation of micro aerial vehicles (µAV)." International Journal of Engineering & Technology 7, no. 2.31 (2018): 174. http://dx.doi.org/10.14419/ijet.v7i2.31.13434.
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Quadcopter UAV also known as quadrotor is the another form of helicopters having more spirited firmness than helicopters. They play a paramount role in divergent areas like military operations, surveillance, fire sensing and some important areas having many complications. Quadcopters are UAV's with capability of perpendicular takeoffs, arrivals and drift at a crave location. This survey paper addresses the delineation and evolution of a proclivity arm quadcopter for mini payload and longtime endurance.
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Hu, Jinsong, Yongpeng Wu, Riqing Chen, Feng Shu, and Jiangzhou Wang. "Optimal Detection of UAV's Transmission With Beam Sweeping in Covert Wireless Networks." IEEE Transactions on Vehicular Technology 69, no. 1 (2020): 1080–85. http://dx.doi.org/10.1109/tvt.2019.2950450.
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