The model reference adaptive impedance control for underwater manipulator compliant operation

被引:5
|
作者
Zhang, Jianjun [1 ,2 ,3 ]
Li, Han [1 ]
Liu, Qunpo [1 ,2 ]
Li, Shasha [1 ]
机构
[1] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo, Peoples R China
[2] Henan Polytech Univ, Henan Int Joint Lab Direct Drive & Control Intelli, Jiaozuo, Peoples R China
[3] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo 454000, Peoples R China
基金
中国国家自然科学基金;
关键词
Underwater manipulator; impedance control; bounded-gain-forgetting; robustness; adaptive law; CONTACT FORCE TRACKING; NEURAL-NETWORK; HYBRID CONTROL; ROBOT; REHABILITATION; TELEOPERATION;
D O I
10.1177/01423312221147334
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
It is essential for the diversity of operation targets during the underwater manipulator's task. The joint friction, the time-varying characteristics of physical parameters, and inaccurate measurement of the dynamic bring trouble of model uncertainty. For these problems, a model reference adaptive impedance controller is proposed to achieve the manipulator flexible operation. The desired impedance model is designed for the outer loop force tracking, and the model reference adaptive impedance controller is employed for the inner loop. At the same time, the adaptive law is designed based on the operation space position and the desired position of the desired impedance model output. To eliminate the time-varying characteristics of physical parameters, a new bounded-gain-forgetting adaptive law is designed to compensate the uncertain error between the manipulator model and estimate model. It is ensured that the closed-loop manipulator dynamic is consistent with the desired impedance model, correspondingly the manipulator end operation force tracking the standard force signal is realized, and the desired position error of the end position of the manipulator to the desired impedance model output asymptotically converges to zero. The simulation experiment of a two-degree-of-freedom manipulator is implemented on the Matlab/Simulink platform. The results show that the designed controller has good force-position tracking asymptotical convergence ability under the uncertain dynamic, and the controller has robustness and stability performance.
引用
收藏
页码:2135 / 2148
页数:14
相关论文
共 50 条
  • [1] The nonlinear model reference adaptive impedance control for underwater manipulator operation objects in bilateral teleoperation system
    Zhang, Jianjun
    Li, Han
    Liu, Zhiqiang
    Wu, Zhonghua
    Yang, Jinxian
    [J]. MEASUREMENT & CONTROL, 2024, 57 (08): : 1194 - 1210
  • [2] The adaptive impedance control with desired force fuzzy adjustment for underwater manipulator-compliant operation
    Zhang, Jianjun
    Han, Pengyang
    Liu, Qunpo
    Yang, Jinxian
    Li, Shasha
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024,
  • [3] Model reference adaptive control for a hydraulic underwater manipulator
    Yao, Jianjun
    Wang, Chengjun
    [J]. JOURNAL OF VIBRATION AND CONTROL, 2012, 18 (06) : 893 - 902
  • [4] A Robust Adaptive Model Reference Impedance Control of a Robotic Manipulator With Actuator Saturation
    Arefini, Elaheh
    Talebi, Heidar Ali
    Doustmohammadi, Ali
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 50 (02): : 409 - 420
  • [5] Adaptive Impedance Control for Underwater Manipulator Intelligent Grasping in Unknown Environment
    Zhang J.
    Liu W.
    Li L.
    Cheng R.
    Zheng H.
    [J]. Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2019, 53 (03): : 341 - 347
  • [6] Reference model adaptive control of robot manipulator
    Salah, AM
    Abdulmuin, MZ
    [J]. ADVANCES IN INTELLIGENT SYSTEMS: THEORY AND APPLICATIONS, 2000, 59 : 203 - 208
  • [7] Modelling, Simulation and Model Reference Adaptive Control of Autonomous Underwater Vehicle-Manipulator Systems
    Santhakumar, Mohan
    Kim, Jinwhan
    [J]. 2011 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2011, : 643 - 648
  • [8] The master adaptive impedance control and slave adaptive neural network control in underwater manipulator uncertainty teleoperation
    Zhang, Jianjun
    Liu, Weidong
    Gao, Li'e
    Li, Le
    Li, Zeyu
    [J]. OCEAN ENGINEERING, 2018, 165 : 465 - 479
  • [9] Impedance Control of Robot Manipulator with Model Reference Torque Observer
    Xu Dong
    Zhang Shaoguang
    Li Xuerong
    Liu Min
    Wei Hongxing
    [J]. PROCEEDINGS OF THE 2013 IEEE 8TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2013, : 994 - 998
  • [10] Impedance control of a manipulator using a Fuzzy Model Reference Learning Controller
    Tarbouchi, M.
    Strawson, M. R.
    Benabdallah, H.
    [J]. ACMOS '08: PROCEEDINGS OF THE 10TH WSEAS INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL, MODELLING AND SIMULATION, 2008, : 119 - +