Control design approaches for parallel robot manipulators: A review

被引:16
|
作者
Azar A.T. [1 ,2 ]
Zhu Q. [3 ]
Khamis A. [4 ,5 ]
Zhao D. [6 ]
机构
[1] Faculty of Computers and Information, Benha University
[2] Nanoelectronics Integrated Systems Center (NISC), Nile University
[3] Department of Engineering Design and Mathematics, University of the West of England, Bristol
[4] College of Chemical Engineering, China University of Petroleum, Qingdao
来源
Azar, Ahmad Taher (ahmad.azar@fci.bu.edu.eg) | 1600年 / Inderscience Publishers, 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 28期
基金
中国国家自然科学基金;
关键词
Model-based control techniques real-time dynamic substructuring; Model-free control techniques; Parallel manipulator; RTDS; Serial manipulator;
D O I
10.1504/IJMIC.2017.086563
中图分类号
学科分类号
摘要
In this article, different control design approaches for parallel robot manipulators are presented with two distinguished classes of control strategies in the literature. These are the model-free control and the dynamic control strategy, which is mainly a model-based scheme, and is mostly the alternative when the control requirements are more stringent. The authors strongly believe that this paper will be helpful for researchers and engineers in the field of robotic systems. Copyright 2017 Inderscience Enterprises Ltd.
引用
收藏
页码:199 / 211
页数:12
相关论文
共 50 条
  • [41] ADAPTIVE MOTION CONTROL DESIGN OF ROBOT MANIPULATORS - AN INPUT OUTPUT APPROACH
    KELLY, R
    CARELLI, R
    ORTEGA, R
    INTERNATIONAL JOURNAL OF CONTROL, 1989, 50 (06) : 2563 - 2581
  • [42] Control Design for Harmonic Disturbance Rejection for Robot Manipulators with Bounded Inputs
    Yao Yu
    Wang Xiaochen
    He Fenghua
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2011, 24 (02) : 248 - 256
  • [43] Design of an adaptive control law using trigonometric functions for robot manipulators
    Burkan, R
    ROBOTICA, 2005, 23 : 93 - 99
  • [45] Control Design for Harmonic Disturbance Rejection for Robot Manipulators with Bounded Inputs
    Wang, Xiaochen
    Yao, Yu
    He, Fenghua
    CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 2323 - 2328
  • [46] Nonlinear robust control design for robot manipulators with unmodeled actuator dynamics
    Kaloust, J
    Qu, ZH
    Ham, CH
    ADVANCED ROBOTICS, 1996, 10 (05) : 453 - 467
  • [47] Fuzzy variable-structure-adaptive control design for robot manipulators
    Zhao, Dongbiao
    Zhu, Jianying
    CIRP Annals - Manufacturing Technology, 1995, 44 (01) : 363 - 368
  • [48] Automatic design of control systems for robot manipulators using the bees algorithm
    Fahmy, A. A.
    Kalyoncu, M.
    Castellani, M.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2012, 226 (I4) : 497 - 508
  • [49] Neural network robust H∞ control strategy for robot manipulators for robot manipulators
    Zuo, Yi
    Wang, Yaonan
    Liu, Xinzhi
    Yang, Simon X.
    Huang, Lihong
    Wu, Xiru
    Wang, Zengyun
    APPLIED MATHEMATICAL MODELLING, 2010, 34 (07) : 1823 - 1838
  • [50] Resolved-acceleration control of robot manipulators: A critical review with experiments
    Caccavale, F
    Natale, C
    Siciliano, B
    Villani, L
    ROBOTICA, 1998, 16 : 565 - 573