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主从机械手遥操作双边自适应阻抗控制策略

本站小编 Free考研考试/2022-02-12

张建军1,吴中华1,刘群坡1,王红旗1,刘卫东2
1. 河南理工大学 电气工程与自动化学院,河南 焦作 454000; 2. 西北工业大学 航海学院, 西安 710072
出版日期:2020-06-28发布日期:2020-07-03
通讯作者:吴中华,男,讲师,电话(Tel.):0391-3987550;E-mail: wuzhonghua@hpu.edu.cn.
作者简介:张建军(1983-),男,河南省周口市人,讲师,主要从事水下机械手遥操作及力觉感知研究.
基金资助:国家自然科学基金 (61903126),河南省高等学校重点科研项目 (20A590001),国家重点研发计划(2016YFC0301700)资助项目

Bilateral Adaptive Impedance Control Scheme in Master-Slave Manipulator Teleoperation System

ZHANG Jianjun 1,WU Zhonghua 1,LIU Qunpo 1,WANG Hongqi 1,LIU Weidong 2
1. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454000, Henan, China; 2. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
Online:2020-06-28Published:2020-07-03







摘要/Abstract


摘要: 在主从机械手遥操作实现力、位移协同一致跟踪控制过程中,存在着机械手关节摩擦以及外部不确定干扰引起的模型不确定的问题,针对此问题提出了双边自适应阻抗控制策略.通过设计两种非线性模型参考自适应控制器,设计基于滑模函数的鲁棒自适应控制律补偿机械手模型不确定误差;利用自适应律估计外界干扰的上界,保证了主从机械手闭环动态方程与参考阻抗模型动态方程相一致,实现了主从机械手末端对参考阻抗模型输出的期望位置误差渐进收敛于零.通过李雅普诺夫函数证明了跟踪性能与全局稳定性,在MATLAB/Simulink平台上实现了二自由度机械手遥操作仿真实验.结果表明:整体控制在模型不确定及外部干扰条件下具有很好的力-位置跟踪渐进收敛能力,整体系统具有稳定性和较高的透明性,并且具有鲁棒性及较小的稳态误差,具有自适应控制能力.
关键词: 遥操作, 阻抗控制, 力-位置跟踪, 鲁棒性, 自适应律
Abstract: In the process of force-displacement tracking control in the bilateral teleoperation system, there are uncertainties caused by the joint friction and external uncertainty disturbance in the manipulator model. Therefore, a bilateral adaptive impedance control strategy is proposed for the problems in the teleoperation system. A robust adaptive control law based on sliding mode function is designed to compensate the uncertain errors of the manipulator model, and two kinds of non-linear model reference adaptive controller are designed. The adaptive law is employed to estimate the upper bound of the external disturbance, which ensures that the closed-loop dynamic equations of the master and slave robots are consistent with the dynamic equations of the reference impedance model, and realizes that the expected position error of the reference impedance model output and the end-effector position of the master and slave robots asymptotically converge to zero. The Lyapunov function is employed to prove the tracking performance and global stability. A 2 degree of freedom (DOF) teleoperation simulation is achieved on the MATLAB/Simulink platform, and the force-position tracking asymptotic convergence ability is verified. The results show that the overall controller has a good force-position tracking ability under the conditions of model uncertainty and external disturbances. The overall system has stability and a high transparency, and it has robustness and small steady-state error with adaptive control capability.
Key words: teleoperation, impedance control, force-position tracking, robustness, adaptive law


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