Distributed bearing-based formation maneuver control of fixed-wing UAVs by finite-time orientation estimation

被引:50
|
作者
Zhang, Yuwei [1 ,2 ]
Li, Shaoshi [2 ]
Wang, Shaoping [1 ,2 ,3 ,4 ]
Wang, Xingjian [2 ,3 ,4 ]
Duan, Haibin [2 ]
机构
[1] Beihang Univ, State Key Lab Software Dev Environm, Beijing 100191, Peoples R China
[2] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
[3] Beihang Univ, Ningbo Inst Technol, Ningbo 315800, Peoples R China
[4] Tianmushan Lab, Hangzhou 310023, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Formation maneuver control; Fixed -wing unmanned aerial vehicles; Quaternion-based orientation estimation; Bearing -based approach; Leader -first -follower structure; VARYING FORMATION CONTROL; UNMANNED AERIAL VEHICLES; COORDINATION CONTROL; DYNAMICS; SWARM;
D O I
10.1016/j.ast.2023.108241
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper investigates the bearing-based formation maneuver control problem for a group of fixedwing unmanned aerial vehicles. Unlike the existing works that only steer UAV swarm to achieve a fixed geometric pattern, our objective is to enable UAV swarm to maneuver as a group such that the centroid, scale and orientation of the formation can be continuously changed. The underlying graph of UAV swarm is assumed to satisfy a leader-first-follower structure, and the desired formation maneuvering parameters are only accessible to the leader. To address such issue, a cascaded control scheme is proposed. Firstly, we propose a distributed quaternion-based observer for each follower to estimate the desired orientation of the formation in finite time. Secondly, a bearing-based formation control law is developed to achieve the maneuvering formation, in which an adaptive-gain finite-time disturbance observer is synthesized to reject the deformations which vary the bearing constraints. It is demonstrated that the closed-loop formation tracking error converges to zero exponentially. Comparative simulations are preformed to demonstrate the effectiveness of the proposed method.
引用
收藏
页数:13
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