Adaptive Formation Tracking Control of Multiple Vertical Takeoff and Landing UAVs With Bearing-Only Measurements

被引:11
作者
Huang, Yi [1 ]
Sun, Bowen [1 ]
Meng, Ziyang [2 ]
Sun, Jian [3 ,4 ]
机构
[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
[2] Tsinghua Univ, Dept Precis Instrument, Beijing 100084, Peoples R China
[3] Beijing Inst Technol, Sch Automat, Natl Key Lab Autonomous Intelligent Unmanned Syst, Beijing 100081, Peoples R China
[4] Beijing Inst Technol Chongqing Innovat Ctr, Chongqing 401120, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Adaptive control; attitude control; bearing-only measurements; formation control; unmanned aerial vehicles (UAVs); DISTRIBUTED FORMATION CONTROL; UNMANNED AERIAL VEHICLES; VTOL; QUADROTOR; STABILIZATION;
D O I
10.1109/TCYB.2023.3290726
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article studies the leader-following formation tracking control problem of multiple vertical takeoff and landing (VTOL) unmanned aerial vehicles (UAVs) subject to uncertain parameters, in which the target formation configuration is defined by using the interneighbors' bearing vectors. An adaptive formation control algorithm with bearing-only measurements is proposed under a hierarchical control framework. More specifically, a saturated adaptive distributed control force is developed in the position loop with bearing-only measurements. Since the bearing vectors with respect to the neighbors can be directly measured by low-cost onboard cameras, the proposed formation algorithm can be implemented without interagent communication. Subsequently, in the attitude loop, an adaptive hybrid control scheme via two modified Rodrigues parameters (MRPs) sets is proposed, which achieves the command attitude tracking globally and also avoids the unwinding problem of MRPs. Based on the Lyapunov stability analysis and hybrid theory, we prove that the overall closed-loop error system is globally asymptotically stable. Finally, we provide a numerical example to demonstrate the effectiveness of the proposed control algorithm.
引用
收藏
页码:3491 / 3501
页数:11
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