Distributed Adaptive Fault-tolerant Formation Control of Uncertain Nonholonomic Mobile Robots

Zhen Han, Wei Wang, Huijin Fan
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Abstract

In this paper, the distributed adaptive fault-tolerant formation control problem is investigated for a group of nonholonomic mobile robots(NMRs). The communication flow is described by a digraph and it is supposed that only a subset of the NMRs has direct access to the common desired trajectory. Besides, the actuators of each NMR may suffer from intermittent type of actuator faults. To estimate the unknown trajectory information and topology parameters, distributed estimators are proposed based on the neighboring available information. In addition, estimators are also introduced to estimate the lower bounds of the actuator fault coefficients. Based on the estimation values and Young's inequality, nonlinear damping terms are designed. Then, a novel fault-tolerant control scheme is proposed by applying the adaptive backstepping technique. It is guaranteed that the formation errors will converge to an adjustable compact set and the control inputs are globally uniformly bounded. Simulation results validate the effectiveness of the proposed control scheme.
不确定非完整移动机器人的分布式自适应容错编队控制
研究了一类非完整移动机器人的分布式自适应容错群体控制问题。通信流由有向图描述,并且假设只有nmr的一个子集可以直接访问公共期望轨迹。此外,每个核磁共振的执行器可能会出现间歇性的执行器故障。为了估计未知的轨迹信息和拓扑参数,提出了基于相邻可用信息的分布式估计器。此外,还引入了估计器来估计执行器故障系数的下界。基于估计值和杨氏不等式,设计了非线性阻尼项。然后,利用自适应反演技术提出了一种新的容错控制方案。该算法保证了编队误差收敛于一个可调的紧集,并且控制输入是全局一致有界的。仿真结果验证了所提控制方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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