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基于AGA-ADRC的机械臂末端力/位置控制

FANG Kai DU Haosen LIU Fucai

高技术通讯2025,Vol.35Issue(11):1239-1249,11.
高技术通讯2025,Vol.35Issue(11):1239-1249,11.DOI:10.3772/j.issn.1002-0470.2025.11.008

基于AGA-ADRC的机械臂末端力/位置控制

Force/position control for manipulator end based on AGA-ADRC

FANG Kai 1DU Haosen 1LIU Fucai1

作者信息

  • 1. Engineering Research Center of Ministry of Education for Intelligent Control System and Intelligent Equipment,Yanshan University,Qinhuangdao 066004||Key Laboratory of Industrial Computer Control Engineering of Hebei Province,Yanshan University,Qinhuangdao 066004
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摘要

Abstract

Aiming at the force/position control problem of manipulator end,an improved active disturbance rejection con-trol(ADRC)is proposed.Adaptive genetic algorithm(AGA)is used for optimization.Firstly,the ADRC control-ler is designed based on the impedance model of the industrial robot arm in contact with the part.The nonlinear function in the expanded state observer and nonlinear state error feedback control law of the ADRC controller is im-proved.The improved ADRC controller shows strong anti-interference ability.Secondly,due to the large number of parameters involved in ADRC controller,it is difficult to set the best parameters by empirical method,AGA is pro-posed in this paper to optimize the parameters of ADRC controller.After parameter optimization of the improved AGA-ADRC controller,taking the two-degree-of-freedom robot arm model as an example,compared with traditional ADRC controllers,improved ADRC controllers optimized by particle swarm optimization(PSO),and impedance controllers,simulation experiments are conducted to verify the advantages of AGA-ADRC in the end force/position control of industrial robotic arms.

关键词

工业机械臂/力/位置控制/改进型自抗扰控制方法/自适应遗传算法/阻抗控制

Key words

industrial robot arm/force/position control/improved active disturbance rejection control/adap-tive genetic algorithm/impedance control

引用本文复制引用

FANG Kai,DU Haosen,LIU Fucai..基于AGA-ADRC的机械臂末端力/位置控制[J].高技术通讯,2025,35(11):1239-1249,11.

基金项目

载人航天领域预研(2016040301),河北省自然科学基金(F2022203043)和省级重点实验室绩效补助经费(22567612H)资助项目. (2016040301)

高技术通讯

OA北大核心

1002-0470

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