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轮式移动机器人预定时间领导跟随一致性控制

马小陆 谭毅波 梅宏 张睿 吴明

信息与控制2024,Vol.53Issue(1):58-70,13.
信息与控制2024,Vol.53Issue(1):58-70,13.DOI:10.13976/j.cnki.xk.2023.2505

轮式移动机器人预定时间领导跟随一致性控制

Predefined-time Leader-following Consensus Control for Wheeled Mobile Robots

马小陆 1谭毅波 1梅宏 2张睿 1吴明1

作者信息

  • 1. 安徽工业大学电气与信息工程学院,安徽马鞍山 243002
  • 2. 南京航空航天大学航天学院,江苏南京 210000
  • 折叠

摘要

Abstract

A predefined-time consensus control approach is investigated for the leader-following consen-sus problem of wheeled mobile robot(WMR).First,under the directed graph,a distributed ob-server is proposed for each follower to estimate the leader's state in a predefined time.Second,on the basis of the observer and a constructed double power reaching law and a nonlinear manifold,a new controller is designed to track the estimated leader state in a predefined time.Moreover,a switching protocol and a linear manifold are referenced to ensure that the controller can achieve leader-following consensus for a predefined time under any initial condition without causing singu-larity problems.The predefined time stability of the system is then proved by algebraic graph theo-ry and Lyapunov theory.Finally,simulation comparison experiments verify the proposed algorithm's effectiveness and superiority.Compared with that of the finite-time controller,the convergence time of the proposed controller is independent of the initial conditions,and the convergence effect is better.Compared with that of the fixed-time controller,the convergence time setting of the pro-posed controller is simpler,and a single parameter can directly preset the system convergence time.

关键词

轮式移动机器人/领导跟随一致性/预定时间控制/一致性控制/有向图

Key words

wheeled mobile robot(WMR)/leader-following consensus/predefined-time control/consensus control/directed graph

分类

信息技术与安全科学

引用本文复制引用

马小陆,谭毅波,梅宏,张睿,吴明..轮式移动机器人预定时间领导跟随一致性控制[J].信息与控制,2024,53(1):58-70,13.

基金项目

国家自然科学基金项目(61472282、62172004、62072002) (61472282、62172004、62072002)

安徽省科技重大专项(202003a05020028) (202003a05020028)

安徽高校自然科学研究重点项目(KJ2019A0065) (KJ2019A0065)

安徽省重点研究开发计划项目(202004a0502001) (202004a0502001)

特种重载机器人安徽省重点实验室开放课题(TZJQR004-2020) (TZJQR004-2020)

信息与控制

OA北大核心CSTPCD

1002-0411

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