ROBUST SLIDING MODE CONTROL FOR FLEXIBLE JOINT ROBOTIC MANIPULATOR VIA DISTURBANCE OBSERVER

被引:17
|
作者
Alam, Waqar [1 ]
Ahmad, Sayyar [1 ]
Mehmood, Adeel [1 ]
Iqbal, Jamshed [2 ,3 ]
机构
[1] COMSATS Univ, Islamabad, Pakistan
[2] Univ Jeddah, Jeddah, Saudi Arabia
[3] FAST Natl Univ Comp & Emerging Sci, Islamabad, Pakistan
关键词
robotics; automation; modern control; flexible joint manipulator; TRACKING; SYSTEM;
D O I
10.7906/indecs.17.1.11
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
In a flexible joint robotic manipulator, parametric variations and external disturbances result in mismatch uncertainties thus posing a great challenge in terms of manipulator's control. This article investigates non-linear control algorithms for desired trajectory tracking of a flexible manipulator subjected to mismatch perturbations. The manipulator's dynamics is derived based on Euler-Lagrange approach followed by the design of nonlinear control laws. The traditional Sliding Mode Control and Integral Sliding Mode Control failed to demonstrate adequate performance due to complex system dynamics. Disturbance Observer-based Sliding Mode Control has been thoroughly examined by defining a novel sliding manifold. The aforementioned control laws are designed and simulated in MATLAB/Simulink environment to characterize the control performance. Results demonstrated that the proposed Disturbance Observer-based Sliding Mode Control scheme over-performed on Sliding Mode Control variants and had three prominent features: robustness against mismatch uncertainty, improved chattering behaviour and ability to sustain nominal control performance of the system.
引用
收藏
页码:85 / 97
页数:13
相关论文
共 50 条
  • [1] Terminal sliding mode control for robotic manipulator based on sliding mode disturbance observer
    Han J.
    Wu A.
    Dong N.
    [J]. Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2020, 51 (10): : 2749 - 2757
  • [2] Disturbance Observer-based Neural Network Integral Sliding Mode Control for a Constrained Flexible Joint Robotic Manipulator
    Wen, Quanwei
    Yang, Xiaohui
    Huang, Chao
    Zeng, Junping
    Yuan, Zhixin
    Liu, Peter Xiaoping
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2023, 21 (04) : 1243 - 1257
  • [3] Disturbance Observer-based Neural Network Integral Sliding Mode Control for a Constrained Flexible Joint Robotic Manipulator
    Quanwei Wen
    Xiaohui Yang
    Chao Huang
    Junping Zeng
    Zhixin Yuan
    Peter Xiaoping Liu
    [J]. International Journal of Control, Automation and Systems, 2023, 21 : 1243 - 1257
  • [4] Backstepping Sliding Mode Control for Robot Manipulator via Nonlinear Disturbance Observer
    Huang, Yiqing
    Cheng, Lu
    Li, Zhikun
    Gao, Wengen
    Lu, Huacai
    Wei, Lisheng
    [J]. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 3220 - 3224
  • [5] Robust Optimal Adaptive Sliding Mode Control with the Disturbance Observer for a Manipulator Robot System
    Kun-Yung Chen
    [J]. International Journal of Control, Automation and Systems, 2018, 16 : 1701 - 1715
  • [7] Disturbance-observer-based Tracking Control for A Flexible-Joint Robotic Manipulator with External Disturbance
    Cheng, Wenli
    Zhang, Zhongcai
    Wu, Yuqiang
    [J]. PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 3406 - 3409
  • [8] A novel sliding mode control for robotic manipulator based on finite-time disturbance observer
    Huang, Haiyun
    Li, Zeyun
    Yang, Zhengwei
    Zhao, Jing
    Xie, Cong
    [J]. 2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 369 - 374
  • [9] OBSERVER-BASED SLIDING MODE CONTROL OF A ROBOTIC MANIPULATOR
    JEZERNIK, K
    CURK, B
    HARNIK, J
    [J]. ROBOTICA, 1994, 12 : 443 - 448
  • [10] Robust adaptive attitude control of flexible spacecraft using a sliding mode disturbance observer
    Javaid, Umair
    Zhen, Ziyang
    Xue, Yixuan
    Ijaz, Salman
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2022, 236 (11) : 2235 - 2253