Contact force cancelation in robot impedance control by target impedance modification

被引:4
|
作者
Huang, An-Chyau [1 ]
Lee, Kun-Ju [1 ]
Du, Wei-Lin [1 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Dept Mech Engn, Taipei, Taiwan
关键词
force control; control of robotic systems; impedance control; force sensorless; adaptive control;
D O I
10.1017/S0263574723000103
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
A force sensorless impedance controller is proposed in this paper for robot manipulators without using force estimators. From the observation of the impedance control law, the force feedback term can be canceled if the inertia matrix in the target impedance is the same as the robot inertia matrix. However, the inertia matrix in the target impedance is almost always a constant matrix, while the robot inertia matrix is a function of the robot configuration, and hence, they may not be identical in general. A modification of the coefficient matrix for the contact force term in the target impedance is suggested in this paper to enable cancelation of the force feedback term in the impedance control law so that a force sensorless impedance controller without using force estimators can be obtained. The tracking performance in the free space phase and the motion trajectory in the compliant motion phase of the new design are almost the same as those in the traditional impedance control. Modification of the inertia matrix in the target impedance will result in small variations of the contact force which is acceptable in practical applications. For robot manipulators containing uncertainties, an adaptive version of the new controller is also developed in this paper to give satisfactory performance without the need for force sensors. Rigorous mathematical justification in closed-loop stability is given in detail, and computer simulations are performed to verify the efficacy of the proposed design.
引用
收藏
页码:1733 / 1748
页数:16
相关论文
共 50 条
  • [1] Research on Robot Contact Force Control Based on Adaptive Impedance Control
    Ye, Haoliang
    Jiang, Shuo
    Wang, Junzheng
    2021 5TH INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES (ICRAS 2021), 2021, : 84 - 88
  • [2] ROBOT CONTROL - FORCE, IMPEDANCE, AND REDUNDANCY
    JAMSHIDI, M
    BAYOUMI, M
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 1992, 6 (2-3) : 141 - 143
  • [3] Robot control: Force, impedance, and redundancy
    Jamshidi, Mohammad
    Bayoumi, Mohamed
    Journal of Intelligent and Robotic Systems, 1992, 6 (2-3): : 141 - 143
  • [4] Contact force modeling and variable damping impedance control of apple harvesting robot
    Ji, Wei
    Tang, Chencheng
    Xu, Bo
    He, Guozhi
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 198
  • [5] On the impedance parameter selection for robot force control
    Campos, FM
    Calado, JM
    Baptista, LF
    da Costa, JMGS
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS 2003, VOL 1-3, 2003, : 1202 - 1207
  • [6] On robust impedance force control of robot manipulators
    Jung, S
    Hsia, TC
    Bonitz, RG
    1997 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION - PROCEEDINGS, VOLS 1-4, 1997, : 2057 - 2062
  • [7] Fuzzy Impedance Control for Robot Impact Force
    Li Jing-zheng
    Liu jia
    Yang Sheng-qiang
    Zhang Jing-jing
    Qiao Zhi-jie
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 340 - 344
  • [8] Force Tracking Impedance Control with Moving Target
    Liu, Houde
    Lu, Weifeng
    Zhu, Xiaojun
    Wang, Xueqian
    Liang, Bin
    2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017), 2017, : 1369 - 1374
  • [9] Impedance Control System Based on Contact Force Distribution for Wearable Robot with Tactile Sensors
    Sato, Asuka
    Funabora, Yuki
    Doki, Shinji
    Doki, Kae
    2017 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 2017, : 918 - 923
  • [10] Variable Impedance Control for a Single Leg of a Quadruped Robot Based on Contact Force Estimation
    Yanan Fan
    Zhongcai Pei
    Zhiyong Tang
    International Journal of Control, Automation and Systems, 2024, 22 : 1360 - 1370