Distributed formation tracking for multi-UAVs with unknown disturbances under event-triggered communication

被引:0
|
作者
Chen, Tianxing [1 ,2 ]
Zhao, Jiasheng [1 ]
Hou, Zhiwei [1 ]
Chen, Hongbo [1 ]
Zhuang, Xuebin [1 ]
机构
[1] Sun Yat Sen Univ, Sch Syst Sci & Engn, Guangzhou 510000, Peoples R China
[2] Harbin Inst Technol, Sch Mech Engn & Automat, Shenzhen 518055, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Event-triggered communication; Distributed formation tracking; Multiple unmanned aerial vehicles; Unknown disturbances; SLIDING MODE CONTROL; CONSENSUS; DESIGN; FLIGHT;
D O I
10.1016/j.jfranklin.2024.106997
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 paper presents a novel distributed formation control scheme under event -triggered communication to solve the cooperative formation tracking problem of multiple unmanned aerial vehicles (multi-UAVs) with unknown disturbances. An event -triggered communication protocol whose triggering condition depends on the system's current state is designed, and thus reduces the unnecessary communication consumption. Based on such communication protocol, a robust formation control is constructed and skillfully combined with disturbance estimator to further enhance the robustness to resist unknown disturbances. Moreover, an event -triggered strategy is further incorporated to update the controller. By employing Lyapunov theory, new sufficient conditions for guaranteeing the system's stability are rigorously derived, while excluding Zeno behavior. The efficiency and advantage of our method are illustrated by numerical validation of formation tracking under unknown nonlinear disturbances and detailed comparisons with closely related works. Our method is also verified in an ROS/PX4/Gazebo platform, fully indicating its significant value for applications.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] Formation Control for Multi-UAVs System Based on Event-triggered Mechanism
    Ji, Lei
    Fan, Chunxia
    Qiao, Yan
    Xiang, Hao
    PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 8254 - 8259
  • [2] Dynamic event-triggered formation control for UAVs under communication delay and outside disturbances
    Ji, Mingfei
    Li, Tao
    Liao, Jiawen
    Yang, Xin
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2023, 45 (12) : 2287 - 2298
  • [3] Fully distributed event-triggered formation control for multi-agent systems with unknown disturbances
    Zhu, Guoliang
    Liu, Kexin
    Gu, Haibo
    Chen, Lei
    Lu, Jinhu
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (02) : 736 - 752
  • [4] Adaptive event-triggered pseudolinear consensus filter for multi-UAVs bearings-only target tracking
    Huang, Fanjing
    Wu, Panlong
    Li, Xingxiu
    Li, Jimin
    Zhao, Ruohan
    NEUROCOMPUTING, 2024, 571
  • [5] Event-Triggered Trajectory Tracking Control for Quadrotor UAVs Subject to External Disturbances
    Zhao, Peng
    Bao, Zean
    Liu, Xinzhi
    Zhang, Jingyao
    Cai, Kaiquan
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2025,
  • [6] Event-Triggered Adaptive Tracking Control for Multiagent Systems With Unknown Disturbances
    Zhang, Yanhui
    Sun, Jian
    Liang, Hongjing
    Li, Hongyi
    IEEE TRANSACTIONS ON CYBERNETICS, 2020, 50 (03) : 890 - 901
  • [7] Event-triggered control strategy for distributed UAVs with time-delay and disturbances
    Wei, Lili
    Li, Mingsuo
    Chen, Mou
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 2385 - 2390
  • [8] Event-triggered control strategy for distributed UAVs with time-delay and disturbances
    Wei, Lili
    Li, Mingsuo
    Chen, Mou
    Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019, 2019, : 2385 - 2390
  • [9] Distributed Event-Triggered Attitude Consensus Control for Spacecraft Formation Flying With Unknown Disturbances and Uncertainties
    Xie, Xiong
    Sheng, Tao
    He, Liang
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2022, 58 (03) : 1721 - 1732
  • [10] Event-triggered Formation Control and Collision Avoidance for Multi-agent Systems with Unknown Disturbances
    Ding, Tianyu
    Liu, Kexin
    Wang, Zhenqian
    Zhou, Jinhao
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 4891 - 4896