Adaptive Hybrid Impedance Control of Robotic manipulators

被引:0
|
作者
Hosseinzadeh, M. [1 ]
Aghabalaie, P. [1 ]
Talebi, H. A. [1 ]
Shafie, M.
机构
[1] Amirkabir Univ Technol, Dept Elect Engn, Tehran, Iran
来源
IECON 2010 - 36TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2010年
关键词
Hybrid impedance control; force control; adaptive control; adaptive hybrid impedance control; Lyapunov function;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the problem of position and force control of a robotic manipulator in contact with the environment is considered. The Hybrid Impedance Control (HIC) methodology is employed to control the position of the end-effector in such a way that the robot exhibits a desired dynamic property and hence desired Impedance which in turn results in tracking the interaction force. It is assumed that the robot has unknown dynamics, hence an adaptive HIC is used to control the robot manipulator. The environment is modeled as a spring to be used in the force control directions. The Lyapunov's theorem is used to show the stability of the closed-loop system obtained by the proposed adaptive law. The effectiveness of the proposed approach is demonstrated via simulations performed on a three-link articulated manipulator.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Adaptive hybrid impedance control of robot manipulators: A comparative study
    Baptista, LF
    daCosta, JMGS
    RE-ENGINEERING FOR SUSTAINABLE INDUSTRIAL PRODUCTION, 1997, : 177 - 184
  • [2] Active Impedance Control of Bioinspired Motion Robotic Manipulators: An Overview
    Al-Shuka, Hayder F. N.
    Leonhardt, Steffen
    Zhu, Wen-Hong
    Song, Rui
    Ding, Chao
    Li, Yibin
    APPLIED BIONICS AND BIOMECHANICS, 2018, 2018
  • [3] Adaptive finite-time optimised impedance control for robotic manipulators with state constraints
    Li, Chengpeng
    Ren, Qinyuan
    Xu, Zuhua
    Zhao, Jun
    Song, Chunyue
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2023, 54 (09) : 2040 - 2058
  • [4] A hybrid adaptive control approach for robust tracking of robotic manipulators: theory and experiment
    Islam, Shafiqul
    Liu, Peter X.
    ROBOTICA, 2011, 29 : 255 - 269
  • [5] Adaptive force-position control for constrained robotic manipulators
    Kawasaki, H
    Ohka, Y
    ROBOT CONTROL 1997, VOLS 1 AND 2, 1998, : 187 - 192
  • [6] Adaptive Tracking Control of Uncertain Robotic Manipulators
    Zhang, Mingxu
    Zhang, Zhengqiang
    Sun, Meimei
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2024, 71 (05) : 2734 - 2738
  • [7] A global adaptive learning control for robotic manipulators
    Liuzzo, Stefano
    Tomei, Patrizio
    AUTOMATICA, 2008, 44 (05) : 1379 - 1384
  • [8] Hybrid impedance control of robot manipulators with neural networks compensation
    Marques, SJC
    Baptista, LF
    da Costa, JMG
    ALGORITHMS AND ARCHITECTURES FOR REAL-TIME CONTROL 1997, 1997, : 373 - 378
  • [9] Adaptive Hybrid Impedance Control of Robot Manipulators with Robustness against Environment's Uncertainties
    Li, Jianfei
    Liu, Li
    Wang, Yaobing
    Liang, Wenyuan
    2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2015, : 1846 - 1851
  • [10] Neural network-based adaptive hybrid impedance control for electrically driven flexible-joint robotic manipulators with input saturation
    Ding, Shuai
    Peng, Jinzhu
    Zhang, Hui
    Wang, Yaonan
    NEUROCOMPUTING, 2021, 458 : 99 - 111