Finite-Time Formation Control for Clustered UAVs with Obstacle Avoidance Inspired by Pigeon Hierarchical Behavior

被引:1
作者
Zhang, Zhaoyu [1 ]
Yuan, Yang [1 ]
Duan, Haibin [1 ]
机构
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Natl Key Lab Aircraft Integrated Flight Control, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
finite-time formation control; terminal sliding mode surface; unmanned aerial vehicles; obstacle avoidance; pigeon flock behavior; FORMATION TRACKING CONTROL; COLLISION-AVOIDANCE;
D O I
10.3390/drones9040276
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
To address the formation control issue of multiple unmanned aerial vehicles (UAVs), a finite-time control scheme based on terminal sliding mode (TSM) is investigated in this paper. A quadcopter UAV with the vertical takeoff property is considered, with cascaded kinematics composed of rotational and translational loops. To strengthen the application in the low-cost UAV system, the applied torque is synthesized with an auxiliary rotational system, which can avoid utilizing direct attitude measurement. Furthermore, a terminal sliding mode surface is established and employed in the finite-time formation control protocol (FTFCP) as the driven thrust of multiple UAVs over an undirected topology in the translational system. To maintain the safe flight of the UAV clusters in an environment to avoid collision with obstacles or with other UAV neighbors, a pigeon-hierarchy-inspired obstacle avoidance protocol (PHOAP) is proposed. By imitating the interactive hierarchy that exists among the homing pigeon flocks, the collision avoidance scheme is separately enhanced to generate the repulsive potential field for the leader maneuver target and the follower UAV cluster. Subsequently, the collision avoidance laws based on pigeon homing behavior are combined with the finite-time sliding mode formation protocol, and the applied torque is attached as a cascaded structure in the attitude loop to synthesize an obstacle avoidance cooperative control framework. Finally, simulation scenarios of multiple UAVs to reach a desired formation among obstacles is investigated, and the effectiveness of the proposed approach is validated.
引用
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页数:23
相关论文
共 45 条
[41]   Coarse-to-Fine UAV Target Tracking With Deep Reinforcement Learning [J].
Zhang, Wei ;
Song, Ke ;
Rong, Xuewen ;
Li, Yibin .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2019, 16 (04) :1522-1530
[42]   Leader-Follower Formation Control via Fixed-Time Distributed Observer Over Directed Topology: Theories and Applications [J].
Zhang, Zhaoyu ;
Duan, Haibin ;
Wei, Chen .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2025,
[43]  
[张兆宇 Zhang Zhaoyu], 2024, [中国科学. 技术科学, Scientia Sinica Technologica], V54, P1637
[44]   Distributed velocity-free formation tracking control for clustered UAVs under virtual leader-follower framework [J].
Zhang, Zhaoyu ;
Duan, Haibin .
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2024, 67 (05) :1538-1552
[45]   Adaptive Coordinated Formation Control of Heterogeneous Vertical Takeoff and Landing UAVs Subject to Parametric Uncertainties [J].
Zou, Yao ;
Zhang, Haojie ;
He, Wei .
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (05) :3184-3195