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计算机工程 ›› 2023, Vol. 49 ›› Issue (10): 127-135. doi: 10.19678/j.issn.1000-3428.0066603

• 人工智能与模式识别 • 上一篇    下一篇

Markov切换拓扑下二阶非线性多智能体编队容错控制

欧阳凌丛, 杨凯军, 张志雄   

  1. 陕西科技大学 电气与控制工程学院, 西安 710021
  • 收稿日期:2022-12-26 出版日期:2023-10-15 发布日期:2023-03-22
  • 作者简介:

    欧阳凌丛(1998-),男,硕士研究生,主研方向为多智能体编队及其协同控制、通信网络

    杨凯军,副教授、博士

    张志雄,硕士研究生

  • 基金资助:
    国家自然科学基金(62003201); 陕西省自然科学基金(2021JQ-527)

Fault-Tolerant Control of Second-Order Nonlinear Multi-Agent Formation Under Markov Switching Topology

Lingcong OUYANG, Kaijun YANG, Zhixiong ZHANG   

  1. School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China
  • Received:2022-12-26 Online:2023-10-15 Published:2023-03-22

摘要:

多智能体系统编队控制过程中存在固定拓扑下智能体之间通信信号易丢失和控制器故障频发的问题。对此,提出一种具有随机切换通信拓扑的二阶非线性多智能体系统领导-跟随编队容错控制协议。为解决二阶非线性多智能体系统编队中控制信号丢失的问题,利用马尔可夫(Markov)随机过程描述切换通信拓扑编队模型,提出一种基于Markov随机切换通信拓扑的多智能体编队控制律,通过建立领导者和追随者之间的状态误差模型,构建具有二重积分的Lyapunov-Krasovskii函数证明多智能体系统在均方意义下的指数收敛稳定。为解决多智能体系统编队控制器故障问题,建立具有随机通信拓扑切换的多智能体编队容错控制模型,设计一种具有Markov随机切换通信拓扑的多智能体编队容错控制算法,利用李雅普诺夫稳定性理论分析所提出算法的稳定性和收敛性。仿真结果体现了多智能体系统随机切换通信拓扑编队控制器超调量小、响应时间快、调整时间短的特点,同时对比实验结果验证了系统在发生故障和无故障情况下的稳定性与有效性。

关键词: 多智能体系统, 编队控制, 容错控制, 马尔可夫过程, 非线性

Abstract:

To solve the problems of communication signal loss and controller failure in the formation control of multi-agent systems, this paper proposes a fault-tolerant control protocol for second-order nonlinear multi-agent system leader-follower formation with a stochastic switching communication topology. First, to solve the problem of control signal loss in the formation of second-order nonlinear multi-agent systems, a Markov stochastic process is adopted to describe the switching communication topology formation model. In addition, a state error model is established between the leader and follower, and the Lyapunov-Krasovskii Function(LKF) is constructed with double integration to prove the exponential convergence stability of the multi-agent system in the mean-square sense. Accordingly, a multi-agent formation control law based on the Markov stochastic switching communication topology is proposed. Second, to solve the multi-agent system formation controller failure problem, a multi-agent formation fault-tolerant control model with random communication topology switching is established, a multi-agent formation fault-tolerant control algorithm with Markov random switching communication topology is designed, and the stability and convergence of the proposed algorithm are analyzed considering the Lyapunov stability theory. Finally, the algorithm is verified through computer simulations, considering the characteristics of formation controller of the multi-agent system with random switching communication topology such as small overshoot, fast response time, and short adjustment time. Further, the stability and effectiveness of the system with and without failure are compared and verified.

Key words: multi-agent system, formation control, fault-tolerant control, Markov process, nonlinear