带有完全分布式观测器的多智能体系统自适应容错一致性

Fully distributed observer-based adaptive fault-tolerant consensus control for multi-agent systems

中文关键词  多智能体系统  容错控制  一致性  自适应故障补偿器  神经网络  反步法

英文关键词  multi-agent systems  fault-tolerant control  consensus  adaptive fault compensator  neural network  backstepping control

中文摘要

      针对一类同时带有执行器故障, 未知非线性动态和非匹配干扰的多智能体系统, 本文提出一种新的自适应 容错控制方案. 首先, 设计一种适用于有向切换拓扑的完全分布式观测器估计领导者的信息, 将一致性问题转化为 局部的信号跟踪问题. 其次, 拆解转化后的误差系统为两个耦合的子系统, 实现非匹配干扰与匹配因子分离. 然后, 利用径向基神经网络近似非线性动态, 并结合反步法设计3种自适应故障补偿器, 使系统能够在线补偿故障和未知 动态的影响. 最后, 数值仿真验证了所提方案的有效性.

英文摘要

      This paper investigates the fault-tolerant control for leader-following multi-agent systems with mismatched disturbances and unknown nonlinear dynamics. To begin with, a fully distributed observer is designed to estimate the state of the leader under directed switching topology, which translates the consensus problem into a local tracking problem. Next, by state transformation the error system is decoupled into two cascade systems, which separates the mismatched disturbances and the matched faulty factors. Thirdly, the radial basis function neural network is utilized to approximate the unknown nonlinear dynamics, based on which, three fault compensators are designed by combining with the backstepping method. It is proven that the consensus tracking problem can be solved, and the effects of mismatched disturbances, actuator faults and unknown nonlinear dynamics can be eliminated adaptively online. Finally, a numerical simulation is given to validate the effectiveness of the proposed protocols.