具有执行器故障的多智能体容错控制

Pu Zhang, Huifeng Xue, Shan Gao
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引用次数: 1

摘要

针对多智能体编队系统,提出了一种基于共识理论的分布式自适应控制方法,使多智能体编队在领队出现局部故障的情况下仍能完成任务。被控对象由四个主体组成,构成一个三角形形成系统,其中一个主体作为三角形的顶点,其余主体作为一条直线上的follower。基于图论,对智能体的局部信息参数进行了分布式自适应更新,并利用分布式自适应控制律对多智能体编队中leader故障的影响进行了补充。根据相邻智能体的局部信息,设计了整体分布式自适应容错控制律,并通过构造Lyapunov函数证明了所设计控制器的稳定性。同时,“leader-follower”的水平方向与纵向方向的相对距离误差收敛于零。仿真结果表明,所提出的自适应控制方法具有良好的鲁棒性,为工程实践提供了理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault-tolerant Control for Multi-agent with Actuator Fault
This paper proposes a distributed adaptive control approach based on consensus theory so that a multi-agent formation can still complete the task despite the local fault of the leader for the multi-agent formation system. The controlled object consists of four agents that form a triangle formation system, where one agent acts as the vertex of the triangle, and the remaining agents act as followers in a line. Based on graph theory, the distributed adaptive updating of the agents’ local information parameters are conducted, and the distributed adaptive control law is used to supplement the influence of the leader’s fault in the multi-agent formation. According to the local information of adjacent agents, an overall distributed adaptive fault-tolerant control law is designed, and the stability of the designed controller is proved by constructing the Lyapunov function. Meanwhile, the relative distance error between the horizontal direction and longitudinal direction of the "leader-follower" converge to zero. The simulation results show that the proposed adaptive control approach has good robustness, which provides a theoretical basis for engineering practice.
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