Adaptive synchronised tracking control for multiple robotic manipulators with uncertain kinematics and dynamics

被引:56
|
作者
Zhao, Dongya [1 ,2 ]
Li, Shaoyuan [3 ]
Zhu, Quanmin [1 ,4 ]
机构
[1] China Univ Petr, Coll Chem Engn, Qingdao, Peoples R China
[2] China Univ Petr, State Key Lab Heavy Oil Res, Qingdao, Peoples R China
[3] Shanghai Jiao Tong Univ, Inst Automat, Shanghai 200030, Peoples R China
[4] Univ W England, Bristol Inst Technol, Bristol BS16 1QY, Avon, England
关键词
adaptive control; multiple robotic manipulators; dynamic uncertainty; kinematic uncertainty; synchronised control; TRAJECTORY-TRACKING; TASK-SPACE; POSITION SYNCHRONIZATION; COOPERATIVE ROBOTS; MOTION AXES; SYSTEMS; FEEDBACK; MODEL;
D O I
10.1080/00207721.2014.906681
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 study, a new adaptive synchronised tracking control approach is developed for the operation of multiple robotic manipulators in the presence of uncertain kinematics and dynamics. In terms of the system synchronisation and adaptive control, the proposed approach can stabilise position tracking of each robotic manipulator while coordinating its motion with the other robotic manipulators. On the other hand, the developed approach can cope with kinematic and dynamic uncertainties. The corresponding stability analysis is presented to lay a foundation for theoretical understanding of the underlying issues as well as an assurance for safely operating real systems. Illustrative examples are bench tested to validate the effectiveness of the proposed approach. In addition, to face the challenging issues, this study provides an exemplary showcase with effectively to integrate several cross boundary theoretical results to formulate an interdisciplinary solution.
引用
收藏
页码:791 / 804
页数:14
相关论文
共 50 条
  • [1] Adaptive Jacobian Synchronized Tracking Control for Multiple Robotic Manipulators
    Zhao Dongya
    Li Shaoyuan
    Zhu Quanmin
    2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 3705 - 3710
  • [2] Adaptive Tracking Control of Robotic Manipulators With Unknown Kinematics and Uncertain Dynamics
    Tong, Yuchuang
    Liu, Jinguo
    Zhou, Hao
    Ju, Zhaojie
    Zhang, Xin
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 21 (04) : 5252 - 5269
  • [3] Exponential Tracking Control of Robotic Manipulators With Uncertain Dynamics and Kinematics
    Xiao, Bing
    Yin, Shen
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (02) : 689 - 698
  • [4] Adaptive Control of Robot Manipulators With Uncertain Kinematics and Dynamics
    Wang, Hanlei
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (02) : 948 - 954
  • [5] 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
  • [6] Position synchronised control of multiple robotic manipulators based on integral sliding mode
    Zhao, Dongya
    Zhu, Quanmin
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2014, 45 (03) : 556 - 570
  • [7] Adaptive trajectory tracking control for manipulator with uncertain dynamics and kinematics
    Yang L.
    Chen Y.
    Liu Z.
    Kongzhi yu Juece/Control and Decision, 2019, 34 (11): : 2485 - 2490
  • [8] Control of Bilateral Teleoperation System for Robotic Manipulators with Uncertain Kinematics and Dynamics
    Liu, Yen-Chen
    2014 IEEE 4TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2014, : 521 - 526
  • [9] An Adaptive Controller for Robotic Manipulators with Unknown Kinematics and Dynamics
    Wang, Sihan
    Zhang, Kaiqiang
    Herrmann, Guido
    IFAC PAPERSONLINE, 2020, 53 (02): : 8796 - 8801
  • [10] Adaptive Control for Nonlinear Teleoperators With Uncertain Kinematics and Dynamics
    Liu, Yen-Chen
    Khong, Mun-Hooi
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2015, 20 (05) : 2550 - 2562