Distributed Adaptive Dynamic Event-Triggered Control for Multiple Quadrotors

被引:13
|
作者
Wang, Hao [1 ]
Shan, Jinjun [1 ]
机构
[1] York Univ, Dept Earth & Space Sci & Engn, Toronto, ON M3J 1P3, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Formation control; Quadrotors; Perturbation methods; Aerodynamics; Dynamic scheduling; Vehicle dynamics; Topology; Adaptive sliding-mode control; dynamic event-triggered control; formation control; multiquadrotor system; MULTIAGENT SYSTEMS; FORMATION TRACKING; SLIDING MODE; CONSENSUS; LEADER; ALGORITHM; UAVS;
D O I
10.1109/TMECH.2023.3273395
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 formation control problems for leader-follower multiquadrotor systems subject to unknown perturbations and limited resources via an event-triggered mechanism. A distributed adaptive dynamic event-triggered formation control protocol is designed by utilizing a sliding-mode control approach, such that the integral sliding-mode manifold can be reached in finite time for the states of the nonlinear, coupled, and underactuated system with unknown external disturbances. A distributed integral sliding-mode surface is proposed to guarantee the formation tracking performance as the state trajectories of multiquadrotor systems move on the constructed sliding manifold. Then, a novel adaptive dynamic triggering strategy is developed to adjust the triggering interval dynamically and, thus, reduce the unnecessary resource consumption. Via the Lyapunov stability theory and the Barbalat lemma, sufficient conditions to ensure the formation tracking results are derived for leader-follower multiquadrotor systems. Simulations and experiments to validate the effectiveness of the proposed control scheme are conducted.
引用
收藏
页码:1900 / 1910
页数:11
相关论文
共 50 条
  • [41] Adaptive dynamic event-triggered control for multi-agent systems with matched uncertainties under directed topologies
    Ruan, Xiaoli
    Xu, Chen
    Feng, Jianwen
    Wang, Jingyi
    Zhao, Yi
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 586
  • [42] Consensus control of MASs with distributed dynamic event-triggered intermittent communication strategy
    Li, Meilin
    Li, Tieshan
    2024 IEEE 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL CYBER-PHYSICAL SYSTEMS, ICPS 2024, 2024,
  • [43] Distributed event-triggered adaptive partial diffusion strategy under dynamic network topology
    Feng, Minyu
    Deng, Shuwei
    Chen, Feng
    Kurths, Juergen
    CHAOS, 2020, 30 (06)
  • [44] Adaptive Dual-Layer Event-Triggered Framework for Unknown Nonlinear Cooperative Systems With Application to Quadrotors
    Chen, Tianxing
    Huang, Yuxiao
    Wang, Shimin
    Zhang, Hongwei
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024,
  • [45] Distributed Adaptive Mittag-Leffler Formation Control for Second-Order Fractional Multi-Agent Systems via Event-Triggered Control Strategy
    Wang, Yougang
    Zhang, Jing
    Wu, Huaiqin
    FRACTAL AND FRACTIONAL, 2022, 6 (07)
  • [46] Dynamic Deadband Event-Triggered Strategy for Distributed Adaptive Consensus Control With Applications to Circuit Systems
    Xu, Yong
    Sun, Jian
    Pan, Ya-Jun
    Wu, Zheng-Guang
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2022, 69 (11) : 4663 - 4673
  • [47] Dynamic event-triggered communication based distributed optimization
    Zhang, Zhiqiang
    Jan Lunze
    Sun, Yuangong
    Lu, Zehuan
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (17) : 8504 - 8522
  • [48] Event-triggered adaptive fuzzy distributed tracking control for uncertain nonlinear multi-agent systems
    Xi, Changjiang
    Dong, Jiuxiang
    FUZZY SETS AND SYSTEMS, 2021, 402 : 35 - 50
  • [49] Flocking of uncertain nonlinear multi-agent systems via distributed adaptive event-triggered control
    Zou, Yong
    An, Qing
    Miao, Suoxia
    Chen, Shiming
    Wang, Xiaoming
    Su, Housheng
    NEUROCOMPUTING, 2021, 465 : 503 - 513
  • [50] Distributed fixed-time dynamic event-triggered leaderless formation control for multiple AUVs based on FRBFDO
    Meng, Chuncheng
    Mo, Taiping
    Zhang, Xiangwen
    OCEAN ENGINEERING, 2024, 307