Log in

Relevant bibliographies by topics / Fixed-Wing UAV Formations / Journal articles

To see the other types of publications on this topic, follow the link: Fixed-Wing UAV Formations.

Journal articles on the topic 'Fixed-Wing UAV Formations'

Author: Grafiati

Published: 6 September 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Fixed-Wing UAV Formations.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Blasi, Luciano, Egidio D’Amato, Immacolata Notaro, and Gennaro Raspaolo. "Clothoid-Based Path Planning for a Formation of Fixed-Wing UAVs." Electronics 12, no. 10 (2023): 2204. http://dx.doi.org/10.3390/electronics12102204.

Full text

Abstract:

Unmanned aerial vehicles (UAVs) are playing an increasingly crucial role in many applications such as search and rescue, delivery services, and military operations. However, one of the significant challenges in this area is to plan efficient and safe trajectories for UAV formations. This paper presents an optimization procedure for trajectory planning for fixed-wing UAV formations using graph theory and clothoid curves. The proposed planning strategy consists of two main steps. Firstly, the geometric optimization of paths is carried out using graphs for each UAV, providing piece-wise linear pa

APA, Harvard, Vancouver, ISO, and other styles

2

Zhan, Guang, Zheng Gong, Quanhui Lv, et al. "Flight Test of Autonomous Formation Management for Multiple Fixed-Wing UAVs Based on Missile Parallel Method." Drones 6, no. 5 (2022): 99. http://dx.doi.org/10.3390/drones6050099.

Full text

Abstract:

This paper reports on the formation and transformation of multiple fixed-wing unmanned aerial vehicles (UAVs) in three-dimensional space. A cooperative guidance law based on the classic missile-type parallel-approach method is designed for the multi-UAV formation control problem. Additionally, formation transformation strategies for multi-UAV autonomous assembly, disbandment, and special circumstances are formed, effective for managing and controlling the formation. When formulating the management strategy for formation establishment, its process is divided into three steps: (i) selecting and

APA, Harvard, Vancouver, ISO, and other styles

3

Suo, Wenbo, Mengyang Wang, Dong Zhang, Zhongjun Qu, and Lei Yu. "Formation Control Technology of Fixed-Wing UAV Swarm Based on Distributed Ad Hoc Network." Applied Sciences 12, no. 2 (2022): 535. http://dx.doi.org/10.3390/app12020535.

Full text

Abstract:

The formation control technology of the unmanned aerial vehicle (UAV) swarm is a current research hotspot, and formation switching and formation obstacle avoidance are vital technologies. Aiming at the problem of formation control of fixed-wing UAVs in distributed ad hoc networks, this paper proposed a route-based formation switching and obstacle avoidance method. First, the consistency theory was used to design the UAV swarm formation control protocol. According to the agreement, the self-organized UAV swarm could obtain the formation waypoint according to the current position information, an

APA, Harvard, Vancouver, ISO, and other styles

4

Muslimov, Tagir Z., and Rustem A. Munasypov. "Consensus-based cooperative control of parallel fixed-wing UAV formations via adaptive backstepping." Aerospace Science and Technology 109 (February 2021): 106416. http://dx.doi.org/10.1016/j.ast.2020.106416.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Yang, Jun, Arun Geo Thomas, Satish Singh, Simone Baldi, and Ximan Wang. "A Semi-Physical Platform for Guidance and Formations of Fixed-Wing Unmanned Aerial Vehicles." Sensors 20, no. 4 (2020): 1136. http://dx.doi.org/10.3390/s20041136.

Full text

Abstract:

Unmanned Aerial Vehicles (UAVs) have multi-domain applications, fixed-wing UAVs being a widely used class. Despite the ongoing research on the topics of guidance and formation control of fixed-wing UAVs, little progress is known on implementation of semi-physical validation platforms (software-in-the-loop or hardware-in-the-loop) for such complex autonomous systems. A semi-physical simulation platform should capture not only the physical aspects of UAV dynamics, but also the cybernetics aspects such as the autopilot and the communication layers connecting the different components. Such a cyber

APA, Harvard, Vancouver, ISO, and other styles

6

Wang, Yuanzhe, Mao Shan, and Danwei Wang. "Motion Capability Analysis for Multiple Fixed-Wing UAV Formations With Speed and Heading Rate Constraints." IEEE Transactions on Control of Network Systems 7, no. 2 (2020): 977–89. http://dx.doi.org/10.1109/tcns.2019.2929658.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Yan, Jiarun, Yangguang Yu, Yinbo Xu, and Xiangke Wang. "A Virtual Point-Oriented Control for Distance-Based Directed Formation and Its Application to Small Fixed-Wing UAVs." Drones 6, no. 10 (2022): 298. http://dx.doi.org/10.3390/drones6100298.

Full text

Abstract:

This paper proposes a new algorithm to solve the control problem for a special class of distance-based directed formations, namely directed-triangulated Laman graphs. The central idea of the algorithm is to construct a virtual point for the agents who have more than two neighbors by employing the information of the desired formation. Compared with the existing methods, the proposed algorithm can make the distance error between the agents converge faster and the path consumption is less. Furthermore, the proposed algorithm is modified to be operable for the small fixed-wing UAV model with nonho

APA, Harvard, Vancouver, ISO, and other styles

8

Kownacki, Cezary, and Leszek Ambroziak. "Adaptation Mechanism of Asymmetrical Potential Field Improving Precision of Position Tracking in the Case of Nonholonomic UAVs." Robotica 37, no. 10 (2019): 1823–34. http://dx.doi.org/10.1017/s0263574719000286.

Full text

Abstract:

SummaryPosition-tracking problems in the structures of rigid formations of nonholonomic mobile robots, such as fixed-wing unmanned aerial vehicle (UAVs), must reconcile tracking precision and flight stability, which usually exclude each other due to nonholonomic motion constraints. Therefore, a position-tracking control that is based on distance and position displacement, defined as inputs of control loops, requires the application of dead zones around target positions, which are the points of instability. For this reason, the control becomes sensitive to any external disturbance causing oscil

APA, Harvard, Vancouver, ISO, and other styles

9

Muslimov, T. Z., and R. A. Munasypov. "Decentralized Nonlinear Group Control of Fixed-Wing UAV Formation." Mekhatronika, Avtomatizatsiya, Upravlenie 21, no. 1 (2020): 43–50. http://dx.doi.org/10.17587/mau.21.43-50.

Full text

Abstract:

The article proposes a control method for autonomous unmanned aerial vehicles (UAVs) group of a fixed-wing type intended to both implement and support flight information with predetermined relative distances between the vehicles. The suggested approach provides any selected geometric formation shape construction and further preservation when UAVs enter a straight-line trajectory described by a given course with arbitrary initial positions of UAVs in the horizontal plane. The proposed method feature is "autopilot—UAV" system’s nonlinear structure consideration, manifesting itself in both the au

APA, Harvard, Vancouver, ISO, and other styles

10

Xu, Dan, Yunxiao Guo, Zhongyi Yu, et al. "PPO-Exp: Keeping Fixed-Wing UAV Formation with Deep Reinforcement Learning." Drones 7, no. 1 (2022): 28. http://dx.doi.org/10.3390/drones7010028.

Full text

Abstract:

Flocking for fixed-Wing Unmanned Aerial Vehicles (UAVs) is an extremely complex challenge due to fixed-wing UAV’s control problem and the system’s coordinate difficulty. Recently, flocking approaches based on reinforcement learning have attracted attention. However, current methods also require that each UAV makes the decision decentralized, which increases the cost and computation of the whole UAV system. This paper researches a low-cost UAV formation system consisting of one leader (equipped with the intelligence chip) with five followers (without the intelligence chip), and proposes a centr

APA, Harvard, Vancouver, ISO, and other styles

11

Yan, Jiarun, Yangguang Yu, and Xiangke Wang. "Distance-Based Formation Control for Fixed-Wing UAVs with Input Constraints: A Low Gain Method." Drones 6, no. 7 (2022): 159. http://dx.doi.org/10.3390/drones6070159.

Full text

Abstract:

Due to the nonlinear and asymmetric input constraints of the fixed-wing UAVs, it is a challenging task to design controllers for the fixed-wing UAV formation control. Distance-based formation control does not require global positions as well as the alignment of coordinates, which brings in great convenience for designing a distributed control law. Motivated by the facts mentioned above, in this paper, the problem of distance-based formation of fixed-wing UAVs with input constraints is studied. A low-gain formation controller, which is a generalized gradient controller of the potential function

APA, Harvard, Vancouver, ISO, and other styles

12

Zhu, Disha, and Jianying Yang. "Formation Control of Fixed Wing UAV with a Novel Transition Function." IFAC-PapersOnLine 55, no. 3 (2022): 154–59. http://dx.doi.org/10.1016/j.ifacol.2022.05.027.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Chen, Qijie, Taoyu Wang, Yuqiang Jin, Yao Wang, and Bei Qian. "A UAV Formation Control Method Based on Sliding-Mode Control under Communication Constraints." Drones 7, no. 4 (2023): 231. http://dx.doi.org/10.3390/drones7040231.

Full text

Abstract:

The problem of vision-based fixed-wing UAV formation control under communication limitations and the presence of measurement errors was investigated. In the first part of this paper, the single UAV motion model and the process of estimating the neighboring UAV states using the Extended Kalman Filter are introduced. The second part describes how we designed a sliding mode controller considering the sensor measurement errors and discusses the sufficient conditions for the stability and formation system in the presence of state transfer time delays in the formation. The main motivation of this pa

APA, Harvard, Vancouver, ISO, and other styles

14

Chen, Qi-jie, Yu-qiang Jin, Ting-long Yan, Tao-yu Wang, and Yao Wang. "UAV Formation Control under Communication Constraints Based on Distributed Model Predictive Control." Mathematical Problems in Engineering 2022 (September 20, 2022): 1–17. http://dx.doi.org/10.1155/2022/7316009.

Full text

Abstract:

A distributed model predictive control method is used to transform the formation and maintenance problem of fixed-wing UAV formation during flight into an online rolling optimization problem to solve in this paper. Firstly, the state estimation model of the neighborhood UAV is established according to the relative information of the UAV. Secondly, the error state model in the three-dimensional inertial coordinate frame of the UAV is established without considering the time delay, sensor error, and external interference. Thirdly, a cost function is designed by introducing the error state of the

APA, Harvard, Vancouver, ISO, and other styles

15

Zhao, Weiwei, Hairong Chu, Xikui Miao, et al. "Research on the Multiagent Joint Proximal Policy Optimization Algorithm Controlling Cooperative Fixed-Wing UAV Obstacle Avoidance." Sensors 20, no. 16 (2020): 4546. http://dx.doi.org/10.3390/s20164546.

Full text

Abstract:

Multiple unmanned aerial vehicle (UAV) collaboration has great potential. To increase the intelligence and environmental adaptability of multi-UAV control, we study the application of deep reinforcement learning algorithms in the field of multi-UAV cooperative control. Aiming at the problem of a non-stationary environment caused by the change of learning agent strategy in reinforcement learning in a multi-agent environment, the paper presents an improved multiagent reinforcement learning algorithm—the multiagent joint proximal policy optimization (MAJPPO) algorithm with the centralized learnin

APA, Harvard, Vancouver, ISO, and other styles

16

Rice, Caleb, Yu Gu, Haiyang Chao, et al. "Autonomous Close Formation Flight Control with Fixed Wing and Quadrotor Test Beds." International Journal of Aerospace Engineering 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/9517654.

Full text

Abstract:

Autonomous formation flight is a key approach for reducing energy cost and managing traffic in future high density airspace. The use of Unmanned Aerial Vehicles (UAVs) has allowed low-budget and low-risk validation of autonomous formation flight concepts. This paper discusses the implementation and flight testing of nonlinear dynamic inversion (NLDI) controllers for close formation flight (CFF) using two distinct UAV platforms: a set of fixed wing aircraft named “Phastball” and a set of quadrotors named “NEO.” Experimental results show that autonomous CFF with approximately 5-wingspan separati

APA, Harvard, Vancouver, ISO, and other styles

17

Ali, Zain Anwar, and Han Zhangang. "Multi-unmanned aerial vehicle swarm formation control using hybrid strategy." Transactions of the Institute of Measurement and Control 43, no. 12 (2021): 2689–701. http://dx.doi.org/10.1177/01423312211003807.

Full text

Abstract:

This study proposes a novel hybrid strategy for formation control of a swarm of multiple unmanned aerial vehicles (UAVs). To enhance the fitness function of the formation, this research offers a three-dimensional formation control for a swarm using particle swarm optimization (PSO) with Cauchy mutant (CM) operators. We use CM operators to enhance the PSO algorithm by examining the varying fitness levels of the local and global optimal solutions for UAV formation control. We establish the terrain and the fixed-wing UAV model. Furthermore, it also models different control parameters of the UAV a

APA, Harvard, Vancouver, ISO, and other styles

18

Chen, Jintao, Wenlong Yang, Zongying Shi, and Yisheng Zhong. "Robust horizontal-plane formation control for small fixed-wing UAVs." Aerospace Science and Technology 131 (December 2022): 107958. http://dx.doi.org/10.1016/j.ast.2022.107958.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Yu, Deyu, Pingfang Zhou, and Yuhao Jing. "Optimal obstacle avoidance consensus formation control method for fixed-wing UAV with variable topology." Aerospace Systems 5, no. 1 (2022): 75–84. http://dx.doi.org/10.1007/s42401-021-00119-5.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Zhang, Jialong, Jianguo Yan, Pu Zhang, and Xiangjie Kong. "Collision Avoidance in Fixed-Wing UAV Formation Flight Based on a Consensus Control Algorithm." IEEE Access 6 (2018): 43672–82. http://dx.doi.org/10.1109/access.2018.2864169.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Kalra, Arti, Sreenatha Anavatti, and Radhakant Padhi. "Aggressive Formation Flying of Fixed-Wing UAVs with Differential Geometric Guidance." Unmanned Systems 05, no. 02 (2017): 97–113. http://dx.doi.org/10.1142/s2301385017500078.

Full text

Abstract:

A nonlinear differential geometric guidance scheme is presented in this paper for aggressive autonomous formation flying of fixed-wing unmanned aerial vehicles (UAVs) in the leader-follower framework. It is assumed that the desired location of the followers are known in the velocity frame of the leader. It is also assumed that the followers can also access the position, velocity and acceleration parameters of the leader as necessary auxiliary information. By utilizing this information and manipulating their own dynamics, the proposed logic autonomously guides the followers to their respective

APA, Harvard, Vancouver, ISO, and other styles

22

Gong, Zheng, Zan Zhou, Zian Wang, Quanhui Lv, Jinfa Xu, and Yunpeng Jiang. "Coordinated Formation Guidance Law for Fixed-Wing UAVs Based on Missile Parallel Approach Method." Aerospace 9, no. 5 (2022): 272. http://dx.doi.org/10.3390/aerospace9050272.

Full text

Abstract:

This paper presents a classic missile-type parallel-approach guidance law for fixed-wing UAVs in coordinated formation flight. The key idea of the proposed guidance law is to drive each follower to follow the virtual target point. Considering the turning ability of each follower, the formation form adopts the semi-perfect rigid form, which does not require the vehicle positions form a rigid formation, and the orientations keep consensus. According to the mission characteristics of the follower following a leader and the leader following a route, three guidance laws for straight, turning, and c

APA, Harvard, Vancouver, ISO, and other styles

23

Muslimov, Tagir Z., and Rustem A. Munasypov. "Multi-UAV cooperative target tracking via consensus-based guidance vector fields and fuzzy MRAC." Aircraft Engineering and Aerospace Technology 93, no. 7 (2021): 1204–12. http://dx.doi.org/10.1108/aeat-02-2021-0058.

Full text

Abstract:

Purpose This paper aims to propose a multi-agent approach to adaptive control of fixed-wing unmanned aerial vehicles (UAVs) tracking a moving ground target. The approach implies that the UAVs in a single group must maintain preset phase shift angles while rotating around the target so as to evaluate the target’s movement more accurately. Thus, the controls should ensure that the UAV swarm follows a moving circular path whose center is the target while also attaining and maintaining a circular formation of a specific geometric shape; and the formation control system is capable of self-tuning be

APA, Harvard, Vancouver, ISO, and other styles

24

Mirzaee Kahagh, A., F. Pazooki, and S. Etemadi Haghighi. "Obstacle avoidance in V-shape formation flight of multiple fixed-wing UAVs using variable repulsive circles." Aeronautical Journal 124, no. 1282 (2020): 1979–2000. http://dx.doi.org/10.1017/aer.2020.81.

Full text

Abstract:

ABSTRACTA formation control and obstacle avoidance algorithm has been introduced in this paper for the V-shape formation flight of fixed-wing UAVs (Unmanned Aerial Vehicles) using the potential functions method. An innovative vector approach has been suggested to fix the conventional challenge in employing the artificial potential field (APF) approach (the creation of local minimums). A method called variable repulsive circles (VRC) has been then presented aimed at designing proper flight paths tailored with functional limitations of fixed-wing UAVs in facing obstacles. Finally, the efficiency

APA, Harvard, Vancouver, ISO, and other styles

25

Zhang, Jialong, Jianguo Yan, and Pu Zhang. "Fixed-Wing UAV Formation Control Design With Collision Avoidance Based on an Improved Artificial Potential Field." IEEE Access 6 (2018): 78342–51. http://dx.doi.org/10.1109/access.2018.2885003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Zhao, Hongbo, Sentang Wu, Yongming Wen, Wenlei Liu, and Xiongjun Wu. "Modeling and Flight Experiments for Swarms of High Dynamic UAVs: A Stochastic Configuration Control System with Multiplicative Noises." Sensors 19, no. 15 (2019): 3278. http://dx.doi.org/10.3390/s19153278.

Full text

Abstract:

UAV Swarm with high dynamic configuration at a large scale requires a high-precision mathematical model to fully exploit its boundary performance. In order to instruct the engineering application with high confidence, uncertainties induced from either systematic measurement or the environment cannot be ignored. This paper investigates the I t o ^ stochastic model of the UAV Swarm system with multiplicative noises. By combining the cooperative kinematic model with a simplified individual dynamic model of fixed-wing-aircraft for the first time, the configuration control model is derived. Conside

APA, Harvard, Vancouver, ISO, and other styles

27

Wan, Yu, Jun Tang, and Songyang Lao. "Research on the Collision Avoidance Algorithm for Fixed-Wing UAVs Based on Maneuver Coordination and Planned Trajectories Prediction." Applied Sciences 9, no. 4 (2019): 798. http://dx.doi.org/10.3390/app9040798.

Full text

Abstract:

This paper presents a novel collision avoidance (CA) algorithm for a cooperative fixed-wing unmanned aerial vehicle (UAV). The method is based on maneuver coordination and planned trajectory prediction. Each aircraft in a conflict generates three available maneuvers and predicts the corresponding planned trajectories. The algorithm coordinates planned trajectories between participants in a conflict, determines which combination of planned trajectories provides the best separation, eventually makes an agreement on the maneuver for collision avoidance and activates the preferred maneuvers when a

APA, Harvard, Vancouver, ISO, and other styles

28

Yang, Jun, Ximan Wang, Simone Baldi, Satish Singh, and Stefano Fari. "A software-in-the-loop implementation of adaptive formation control for fixed-wing UAVs." IEEE/CAA Journal of Automatica Sinica 6, no. 5 (2019): 1230–39. http://dx.doi.org/10.1109/jas.2019.1911702.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Yu, Ziquan, Youmin Zhang, Bin Jiang, et al. "Distributed adaptive fault-tolerant close formation flight control of multiple trailing fixed-wing UAVs." ISA Transactions 106 (November 2020): 181–99. http://dx.doi.org/10.1016/j.isatra.2020.07.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Ambroziak, Leszek, and Zdzisław Gosiewski. "Preliminary UAV Autopilot Integration and In-Flight Testing." Solid State Phenomena 198 (March 2013): 232–37. http://dx.doi.org/10.4028/www.scientific.net/ssp.198.232.

Full text

Abstract:

The paper presents integration process of commercial autopilot. The autopilot was integrated with a fixed wing airframe. The main aim of this work was an experimental study of the autopilot integrated with a micro aircraft. A few manual and autonomous mode flights were performed. During the field trials the autopilot PID parameters were tuned and, as a result, the process of PID gains selection was described. Selected PID gains were presented. Certain telemetry parameters such as longitudinal and lateral position of aircraft, orientation angles, and angular velocities were logged during flight

APA, Harvard, Vancouver, ISO, and other styles

31

Wu, Junfeng, Huan Wang, Shanshan Li, and Shuguang Liu. "Distributed Adaptive Path-Following Control for Distance-Based Formation of Fixed-Wing UAVs under Input Saturation." Aerospace 10, no. 9 (2023): 768. http://dx.doi.org/10.3390/aerospace10090768.

Full text

Abstract:

This paper investigates the distance-based formation and cooperative path-following control problems for multiple fixed-wing unmanned aerial vehicles (UAVs). In this study, we design the distance-based formation control structure to achieve the virtual leader and followers pre-defined rigid formation pattern, ensuring simultaneously relative localization. A path-following control strategy based on adaptive dynamic surface and neural network control technology is proposed to approximate the uncertain disturbances of the environment and unmodeled dynamics. And the longitudinal and lateral subsys

APA, Harvard, Vancouver, ISO, and other styles

32

Kownacki, Cezary, and Leszek Ambroziak. "Local and asymmetrical potential field approach to leader tracking problem in rigid formations of fixed-wing UAVs." Aerospace Science and Technology 68 (September 2017): 465–74. http://dx.doi.org/10.1016/j.ast.2017.05.040.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Ye, Fang, Jie Chen, Yuan Tian, and Tao Jiang. "Cooperative Task Assignment of a Heterogeneous Multi-UAV System Using an Adaptive Genetic Algorithm." Electronics 9, no. 4 (2020): 687. http://dx.doi.org/10.3390/electronics9040687.

Full text

Abstract:

The cooperative multiple task assignment problem (CMTAP) is an NP-hard combinatorial optimization problem. In this paper, CMTAP is to allocate multiple heterogeneous fixed-wing UAVs to perform a suppression of enemy air defense (SEAD) mission on multiple stationary ground targets. To solve this problem, we study the adaptive genetic algorithm (AGA) under the assumptions of the heterogeneity of UAVs and task coupling constraints. Firstly, the multi-type gene chromosome encoding scheme is designed to generate feasible chromosomes that satisfy the heterogeneity of UAVs and task coupling constrain

APA, Harvard, Vancouver, ISO, and other styles

34

Price, George A. J., Chris Moate, Daniel Andre, and Peter Yuen. "Sidelobe Suppression Techniques for Near-Field Multistatic SAR." Sensors 23, no. 2 (2023): 732. http://dx.doi.org/10.3390/s23020732.

Full text

Abstract:

Multirotor Unmanned Air Systems (UAS) represent a significant improvement in capability for Synthetic Aperture Radar (SAR) imaging when compared to traditional, fixed-wing, platforms. In particular, a swarm of UAS can generate significant measurement diversity through variation of spatial and frequency collections across an array of sensors. In such imaging schemes, the image formation step is challenging due to strong extended sidelobe; however, were this to be effectively managed, a dramatic increase in image quality is theoretically possible. Since 2015, QinetiQ have developed the RIBI syst

APA, Harvard, Vancouver, ISO, and other styles

35

Chen, Hao, Xiangke Wang, Lincheng Shen, Zhongkui Li, Zhihong Liu, and Yangguang Yu. "Formation Reconfiguration for Fixed-Wing UAVs." Journal of Intelligent & Robotic Systems 102, no. 1 (2021). http://dx.doi.org/10.1007/s10846-021-01384-4.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Fang, Yuxuan, Yiping Yao, Feng Zhu, and Kai Chen. "Piecewise-potential-field-based path planning method for fixed-wing UAV formation." Scientific Reports 13, no. 1 (2023). http://dx.doi.org/10.1038/s41598-023-28087-0.

Full text

Abstract:

AbstractThe multi-UAV path planning method based on artificial potential field (APF) has the advantage of rapid processing speed and the ability to deal with dynamic obstacles, though some problems remain—such as a lack of consideration of the initial heading constraint of the UAVs, making it easy to fall into a local minimum trap, and the path not being sufficiently smooth. Consequently, a fixed-wing UAV formation path planning method based on piecewise potential field (PPF) is proposed, where the problem of UAV formation flight path planning in different states can be solved by suitable desi

APA, Harvard, Vancouver, ISO, and other styles

37

Lizzio, Fausto Francesco, Elisa Capello, and Giorgio Guglieri. "A Review of Consensus-based Multi-agent UAV Implementations." Journal of Intelligent & Robotic Systems 106, no. 2 (2022). http://dx.doi.org/10.1007/s10846-022-01743-9.

Full text

Abstract:

AbstractIn this paper, a survey on distributed control applications for multi Unmanned Aerial Vehicles (UAVs) systems is proposed. The focus is on consensus-based control, and both rotary-wing and fixed-wing UAVs are considered. On one side, the latest experimental configurations for the implementation of formation flight are analysed and compared for multirotor UAVs. On the other hand, the control frameworks taking into account the mobility of the fixed-wing UAVs performing target tracking are considered. This approach can be helpful to assess and compare the solutions for practical applicati

APA, Harvard, Vancouver, ISO, and other styles

38

Wang, Ximan, Simone Baldi, Xuewei Feng, Changwei Wu, Hongwei Xie, and Bart De Schutter. "A Fixed-Wing UAV Formation Algorithm Based on Vector Field Guidance." IEEE Transactions on Automation Science and Engineering, 2022, 1–14. http://dx.doi.org/10.1109/tase.2022.3144672.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

CHEN, Hao, Xiangke WANG, Lincheng SHEN, and Yirui CONG. "Formation flight of fixed-wing UAV swarms: A group-based hierarchical approach." Chinese Journal of Aeronautics, April 2020. http://dx.doi.org/10.1016/j.cja.2020.03.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

He, Mo, Xiaogang Wang, and Naigang Cui. "Modified vector field and nonlinear guidance law for low-cost UAV path following." Aircraft Engineering and Aerospace Technology, June 22, 2022. http://dx.doi.org/10.1108/aeat-03-2019-0045.

Full text

Abstract:

Purpose The purpose of this paper is to present a high accuracy path following method for low-cost fixed-wing UAVs. Design/methodology/approach The original vector field (VF) algorithm is condensed. A spatial integration mechanism is added to the existing VF and nonlinear guidance law, aiming to decrease steady-state cross-track-error and cope with long-term disturbance. Findings Numerical simulations show the proposed method could diminish steady-state cross-track-error effectively. Test flights show the proposed method is applicable on low-cost fixed-wing UAVs. Practical implications The pat

APA, Harvard, Vancouver, ISO, and other styles

41

Li, Jiacheng, Yangwang Fang, Haoyu Cheng, Zhikai Wang, and Shuaiqi Huangfu. "Unmanned aerial vehicle formation obstacle avoidance control based on light transmission model and improved artificial potential field." Transactions of the Institute of Measurement and Control, June 28, 2022, 014233122211003. http://dx.doi.org/10.1177/01423312221100340.

Full text

Abstract:

To overcome the limitations of the conventional artificial potential field (APF) method, which is commonly used for unmanned aerial vehicle (UAV) formation obstacle avoidance control. A novel UAV formation obstacle avoidance control method based on a light transmission model (LTM) and an improved APF method is proposed. First, inspired by the flight of bird flocks, we combine the LTM with an APF function to present an improved APF model which can help UAV find feasible free space to maneuver. From this, UAV can overcome the drawbacks of non-reachable and local minima under the action of LTM. T

APA, Harvard, Vancouver, ISO, and other styles

42

Mirzaee Kahagh, A., F. Pazooki, S. Etemadi Haghighi, and D. Asadi. "Real-time formation control and obstacle avoidance algorithm for fixed-wing UAVs." Aeronautical Journal, February 23, 2022, 1–23. http://dx.doi.org/10.1017/aer.2022.9.

Full text

Abstract:

Abstract This paper proposes a novel real-time formation control and obstacle avoidance algorithm for multiple fixed-wing UAVs. A formation control algorithm is designed by a combination of the virtual structure, leader-follower, and artificial potential fields methods and harnessing the advantages of those approaches. The kinematic and dynamic constraints of fixed-wing UAVs are considered in the path planning. The performance of the proposed algorithm is examined through simulation in Matlab software by applying the translational dynamics of fixed-wing UAVs. Simulations of different complex s

APA, Harvard, Vancouver, ISO, and other styles

43

Kim, Suhyeon, Hyeongjun Cho, and Dongwon Jung. "Circular Formation Guidance of Fixed-wing UAVs using Mesh Network." IEEE Access, 2022, 1. http://dx.doi.org/10.1109/access.2022.3218673.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Li, Jiacheng, Yangwang Fang, Haoyun Cheng, Zhikai Wang, Zihao Wu, and Mengjie Zeng. "Large-Scale Fixed-Wing UAV Swarm System Control With Collision Avoidance and Formation Maneuver." IEEE Systems Journal, 2022, 1–12. http://dx.doi.org/10.1109/jsyst.2022.3212068.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Zhang, Jialong, and Jianguo Yan. "A Novel Control Approach for Flight-Stability of Fixed-Wing UAV Formation With Wind Field." IEEE Systems Journal, 2020, 1–11. http://dx.doi.org/10.1109/jsyst.2020.3002809.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Wang, Qipeng, Shulong Zhao, Yangguang Yu, and Xiangke Wang. "Distributed control for coordinated tracking of fixed-wing unmanned aerial vehicles subject to velocity constraints." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, July 19, 2022, 095441002110636. http://dx.doi.org/10.1177/09544100211063669.

Full text

Abstract:

This paper considers a coordinated tracking problem of fixed-wing unmanned aerial vehicles (UAVs), whose kinematics is described as unicycle type with the constraints of both saturated angular speed and bounded linear velocity. A distributed velocity controller based on the consensus theory is designed such that UAVs can converge to the predefined formation and track the target vehicle, while the velocity constraints are satisfied. Moreover, due to the limitation of measurement range of sensors and communication bandwidth of UAV, an observer is designed when the information of neighbors’ veloc

APA, Harvard, Vancouver, ISO, and other styles

47

Zhi, Yongran, Lei Liu, Bin Guan, Bo Wang, Zhongtao Cheng, and Huijin Fan. "Distributed robust adaptive formation control of fixed-wing UAVs with unknown uncertainties and disturbances." Aerospace Science and Technology, May 2022, 107600. http://dx.doi.org/10.1016/j.ast.2022.107600.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Zhang, Yuwei, Shaoshi Li, Shaoping Wang, Xingjian Wang, and Haibin Duan. "Distributed bearing-based formation maneuver control of fixed-wing UAVs by finite-time orientation estimation." Aerospace Science and Technology, March 2023, 108241. http://dx.doi.org/10.1016/j.ast.2023.108241.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Liu, Xuzan, Yu Han, and Jian Chen. "Discrete pigeon-inspired optimization-simulated annealing algorithm and optimal reciprocal collision avoidance scheme for fixed-wing UAV formation assembly." Unmanned Systems, December 31, 2020. http://dx.doi.org/10.1142/s230138502141003x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Yu, Ziquan, Youmin Zhang, Bin Jiang, and Xiang Yu. "Fault-Tolerant Time-Varying Elliptical Formation Control of Multiple Fixed-Wing UAVs for Cooperative Forest Fire Monitoring." Journal of Intelligent & Robotic Systems 101, no. 3 (2021). http://dx.doi.org/10.1007/s10846-021-01320-6.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!