Adaptive Robust Time-Varying Formation Control of Quadrotors under Switching Topologies: Theory and Experiment

被引:0
|
作者
Zhao, Ziqian [1 ]
Zhu, Ming [2 ]
Qin, Jiazheng [1 ]
机构
[1] Beihang Univ, Sch Aeronaut Sci & Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, Inst Unmanned Syst, Beijing 100191, Peoples R China
关键词
time-varying formation; TVNTSM; adaptive control; switching topology; linear-velocity free; formation experiment; SLIDING MODE CONTROL; ATTITUDE-CONTROL; REACHING PHASE; CONTROL DESIGN; TRACKING; UAV; SYSTEMS;
D O I
10.3390/aerospace10080735
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper investigates a practical time-varying formation control method for quadrotors subjected to disturbances, uncertainties, and switching-directed topologies. A fully distributed formation control scheme is proposed using a linear-velocity independent position controller (LVIPC) and a nonsingular terminal sliding mode attitude controller (NTSMAC). A distributed observer is adopted to eliminate the measurement of linear-velocity states, and only local neighbor states are needed to realize formation flight. A time-varying nonsingular terminal sliding mode manifold is designed to suppress the reaching phase and ensure the finite-time convergence. Adaptive estimators are employed to remove the reliance on the prior knowledge of the upper bound of lumped uncertainties. It is then proven that all the closed-loop signals are bounded under the proposed method. Comparative experimental results based on a practical outdoor hardware solution are presented to confirm the effectiveness of the suggested control algorithm.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] Distributed Adaptive Formation Control for Linear Swarm Systems With Time-Varying Formation and Switching Topologies
    Wang, Rui
    Dong, Xiwang
    Li, Qingdong
    Ren, Zhang
    IEEE ACCESS, 2016, 4 : 8995 - 9004
  • [2] Distributed Observer-Based Time-Varying Formation Control Under Switching Topologies
    Soni, Sandeep Kumar
    Soni, Garima
    Wang, Siyuan
    Boutat, Driss
    Djemai, Mohamed
    Olaru, Sorin
    Reger, Johann
    Geha, Daniel
    2023 EUROPEAN CONTROL CONFERENCE, ECC, 2023,
  • [3] Time-varying formation control method for multi-agent under switching topologies
    Pang Q.
    Zhu Y.
    Chen Y.
    Li Z.
    Dong L.
    Huang C.
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2024, 32 (05): : 511 - 520
  • [4] Collision-free formation tracking control for multiple quadrotors under switching directed topologies: Theory and experiment
    Guo, Jinjin
    Qi, Juntong
    Wang, Mingming
    Wu, Chong
    Ping, Yuan
    Li, Shi
    Jin, Jie
    AEROSPACE SCIENCE AND TECHNOLOGY, 2022, 131
  • [5] Adaptive Robust Control for Quadrotors with Unknown Time-Varying Delays and Uncertainties in Dynamics
    Sankaranarayanan, Viswa Narayanan
    Satpute, Sumeet
    Nikolakopoulos, George
    DRONES, 2022, 6 (09)
  • [6] Time-varying formation control of UAV swarm systems with switching topologies
    Zhou S.
    Qi Y.
    Zhang L.
    Yan S.
    Kang Y.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2017, 38 (04):
  • [7] Robust Formation Tracking Control for Multiple Quadrotors Subject to Switching Topologies
    Liu, Hao
    Wang, Yanhu
    Lewis, Frank L.
    Valavanis, Kimon P.
    IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2020, 7 (03): : 1319 - 1329
  • [8] Time-varying formation control for unmanned aerial vehicles with switching interaction topologies
    Dong, Xiwang
    Zhou, Yan
    Ren, Zhang
    Zhong, Yisheng
    CONTROL ENGINEERING PRACTICE, 2016, 46 : 26 - 36
  • [9] Robust Control for Quadrotors With Multiple Time-Varying Uncertainties and Delays
    Liu, Hao
    Zhao, Wanbing
    Zuo, Zongyu
    Zhong, Yisheng
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (02) : 1303 - 1312
  • [10] Time-varying formation control for unmanned aerial vehicles with switching interaction topologies
    Zhou, Yan
    Dong, Xiwang
    Lu, Geng
    Zhong, Yisheng
    2014 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2014, : 1203 - 1209