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基于扰动观测器的固定时间车辆编队控制

张意豪 叶洪涛 罗文广 文家燕

计算机工程与应用2024,Vol.60Issue(20):320-327,8.
计算机工程与应用2024,Vol.60Issue(20):320-327,8.DOI:10.3778/j.issn.1002-8331.2306-0258

基于扰动观测器的固定时间车辆编队控制

Fixed-Time Based on Perturbation Observer Vehicle Formation Control

张意豪 1叶洪涛 2罗文广 3文家燕3

作者信息

  • 1. 广西科技大学 自动化学院,广西 柳州 545616
  • 2. 广西科技大学 自动化学院,广西 柳州 545616||广西自动检测技术与仪器重点实验室(桂林电子科技大学),广西 桂林 541004||广西汽车零部件与整车技术重点实验室(广西科技大学),广西 柳州 545006
  • 3. 广西汽车零部件与整车技术重点实验室(广西科技大学),广西 柳州 545006
  • 折叠

摘要

Abstract

Considering the influence of external natural environment and internal model parameter uncertainty on intelli-gent unmanned vehicles during actual driving,which weakens the control effect on vehicle formation systems,a forma-tion control algorithm with disturbance observer is proposed.Firstly,vehicle dynamics and kinematics models are used for modeling,and disturbance observer is introduced to enable the system to accurately identify the composite distur-bance.Secondly,the fixed-time theory is used to design the controller for the following vehicle,and the Lyapunov stability theory is used to prove that both controllers can converge within a fixed-time range.Furthermore,it is demonstrated that the entire vehicle formation control system can converge within a fixed-time range.Finally,the effectiveness of the pro-posed disturbance observer based fixed-time vehicle formation controller is verified through simulation.The simulation results show that the proposed controller can converge the vehicle formation quickly within a fixed-time,and the system convergence time is independent of the initial state of the system.

关键词

车辆编队/协同控制/固定时间/编队控制/领航跟随法

Key words

vehicle formation/cooperative control/fixed-time/formation control/leader-follower

分类

信息技术与安全科学

引用本文复制引用

张意豪,叶洪涛,罗文广,文家燕..基于扰动观测器的固定时间车辆编队控制[J].计算机工程与应用,2024,60(20):320-327,8.

基金项目

国家自然科学基金(61963006) (61963006)

广西自动检测技术与仪器重点实验室开放基金(YQ20208) (YQ20208)

2020年广西汽车零部件与整车技术重点实验室自主研究课题(2020GKLACVTZZ01) (2020GKLACVTZZ01)

广东省基础与应用基础研究项目(2021B151542003). (2021B151542003)

计算机工程与应用

OA北大核心CSTPCD

1002-8331

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