An Adjustable Parameter-Based Robust Distributed Fault Diagnosis for One-Sided Lipschitz Formation of Clustered Multi-Agent Systems

被引:0
|
作者
Barzegar, Ailin [1 ]
Rahimi, Afshin [1 ]
机构
[1] Univ Windsor, Dept Mech Automot & Mat Engn, Windsor, ON N9B 3P4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
distributed fault diagnosis; adjustable parameter; unknown input observer; formation control; clustered multi-agent systems; FORMATION FLYING SATELLITES; ATTITUDE-CONTROL SUBSYSTEM; TOLERANT CONTROL; REACTION WHEELS; CONSENSUS; DESIGN; NETWORK;
D O I
10.3390/electronics13142759
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 addresses the challenge of distributed fault diagnosis in the context of the one-sided Lipschitz formation of agents. Each agent integrates an observer to detect and estimate both linear and non-linear faults in its attitude control subsystem. A robust design configuration is also developed to account for external perturbations. The robust observer utilized in this study is an unknown input observer (UIO), designed to mitigate the impact of disturbances on fault and state estimation errors. The observer's parameters are determined using linear matrix inequalities (LMIs). Furthermore, a UIO incorporating an adjustable parameter (AP) is introduced to enhance fault diagnosis accuracy. Simulation results for two satellite clusters, consisting of five satellites with varying dynamics due to external disturbances, are presented to validate the approach. Instead of equipping every agent with an observer, specific agents can be equipped with observers to detect faults throughout the constellation, thereby reducing computational demands in configurations with numerous agents. Finally, a comparison is made between the proposed AP-based UIO and a standard UIO. The comparison findings reveal a noteworthy average of a substantial 56.61% reduction in root mean square error (RMSE) employing AP-based UIO compared to the utilization of standard robust UIO.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] Distributed fault-tolerant consensus for one-sided Lipschitz multiagent systems based on error decomposition and jointly observable condition
    Yang, Wang
    Dong, Jiuxiang
    INFORMATION SCIENCES, 2024, 657
  • [32] A New Distributed BRB-Based Fault Diagnosis Method for Multi-Agent Systems
    He, Wei
    Wang, Ziyi
    Yang, Ruohan
    Feng, Zhichao
    Sun, Guowen
    PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCE ON AUTONOMOUS UNMANNED SYSTEMS, ICAUS 2022, 2023, 1010 : 422 - 431
  • [33] Multi-Objective Robust H∞ Observer Design for One-Sided Lipschitz Nonlinear Uncertain Systems
    Abid, Muhammad
    Shoaib, Muhammad
    Khan, Abdul Qayyum
    26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 1907 - 1911
  • [34] Dissipativity-based consensus for P-one-sided Lipschitz multi-agent systems via ILC
    Gu, Panpan
    Zhao, Shiji
    Chen, Liping
    Lin, Yong
    Wang, Jiajia
    Tian, Senping
    IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION, 2024, 41 (02) : 180 - 198
  • [35] Consensus and attack-decomposition of switched one-sided Lipschitz multi-agent systems via event-triggered intermittent control
    Wang, Maolin
    Xiao, Min
    Sun, Yaping
    Yang, Xinsong
    Huang, Tingwen
    NEUROCOMPUTING, 2024, 598
  • [36] Guaranteed-performance consensus tracking for one-sided Lipschitz non-linear multi-agent systems with switching communication topologies
    Quan, Wanzhen
    Yang, Xiaogang
    Xi, Jianxiang
    Wang, Le
    IET CONTROL THEORY AND APPLICATIONS, 2021, 15 (18): : 2366 - 2376
  • [37] Robust formation control under state constraints of multi-agent systems in clustered networks
    Van Thiem Pham
    Messai, Nadhir
    Dinh Hoa Nguyen
    Manamanni, Noureddine
    SYSTEMS & CONTROL LETTERS, 2020, 140
  • [38] Distributed fault detection for uncertain Lipschitz nonlinear multi-agent systems in finite frequency domain
    Liang, Dingguo
    He, Zhichen
    Li, Rongchang
    Yang, Ying
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 32 (13) : 7594 - 7610
  • [39] Fully Distributed Fault-Tolerant Consensus Protocols for Lipschitz Nonlinear Multi-Agent Systems
    Wang, Qi
    Wang, Jinzhi
    IEEE ACCESS, 2018, 6 : 17313 - 17325
  • [40] Robust Observer Based Fault-tolerant Control for One-sided Lipschitz Markovian Jump Systems with General Uncertain Transition Rates
    Chen, Feifei
    Lu, Dunke
    Li, Xiaohang
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2019, 17 (07) : 1614 - 1625