Adaptive Fast Fixed-time Sliding Mode Control For Uncertain Robotic Manipulators

被引:0
|
作者
Zhang, Xin [1 ]
Qing, Shaojun [1 ]
机构
[1] Lanzhou Jiaotong Univ, Sch Automat & Elect Engn, Lanzhou 730070, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Robot manipulator; Sliding mode control; Adaptive control; Trajectory tracking; Fixed time convergence; OBSERVER; SYSTEM;
D O I
10.6180/jase.202411_27(11).0005
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a novel adaptive terminal sliding mode (TSM) control method is suggested for the operation and adjustment of uncertain robots under the influence of internal parameter errors and external perturbations. Firstly, a novel TSM surface was designed with the aim of achieving continuous and smooth output torque while ensuring rapid convergence of tracking error. Secondly, the TSM is combined with adaptive control, and an adaptive mechanism is utilized to determine these unknown upper bounds, in order to implement accurate trajectory control in the existence of unknown lumped disturbance. The Lyapunov stability theory is utilized to prove global fixed-time stability, ensuring that the state of the system converges to the origin in fixed time. Importantly, the proposed scheme offers the advantage of continuous and transient-free control torque, eliminating undesired vibrations and ensuring smoother control torques that are well-suited for practical applications. Finally, the simulation experiments unequivocally establish the efficacy and superiority of the controller that was devised.
引用
收藏
页码:3407 / 3417
页数:11
相关论文
共 50 条
  • [31] Terminal sliding mode adaptive control for robotic manipulators
    Gao, Daoxiang
    Xue, Dingyu
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 35 - 35
  • [32] Adaptive Fuzzy Sliding Mode Control for Robotic Manipulators
    Gao, Daoxiang
    Sun, Zenqi
    Wang, Wen
    2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 4811 - 4816
  • [33] Adaptive sliding mode control for robotic manipulators with backlash
    Chen, Jiqing
    Tang, Qingsong
    Zhao, Chaoyang
    Zhang, Haiyan
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2023, 237 (24) : 5842 - 5852
  • [34] Robust adaptive sliding mode control of robotic manipulators
    Yu, Xinghuo
    Zhihong, Man
    Chong, Sze San
    Fei, Mei
    International Journal of Robotics and Automation, 1999, 14 (02): : 54 - 60
  • [35] Adaptive fuzzy sliding mode control for robotic manipulators
    Guo, YZ
    Woo, PY
    42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, : 2174 - 2179
  • [36] Adaptive Sliding Mode Fixed-Time Tracking Control Based on Fixed-Time Sliding Mode Disturbance Observer with Dead-Zone Input
    Wang, Hongbin
    Su, Bo
    Wang, Yueling
    Gao, Jing
    COMPLEXITY, 2019, 2019
  • [37] Prescribed Fixed-Time Adaptive Neural Control for Manipulators with Uncertain Dynamics and Actuator Failures
    Lai, Guanyu
    Zhou, Sheng
    Yang, Weijun
    Wang, Xiaodong
    Wang, Fang
    MATHEMATICS, 2023, 11 (13)
  • [38] Fixed-Time Prescribed Performance Adaptive Fixed-Time Sliding Mode Control for Vehicular Platoons With Actuator Saturation
    Gao, Zhenyu
    Zhang, Yi
    Guo, Ge
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (12) : 24176 - 24189
  • [39] Adaptive Nonsingular Fast Terminal Sliding Mode Impedance Control for Uncertainty Robotic Manipulators
    Huayang Sai
    Zhenbang Xu
    Yi Li
    Kai Wang
    International Journal of Precision Engineering and Manufacturing, 2021, 22 : 1947 - 1961
  • [40] Adaptive fast terminal sliding mode control of robotic manipulators based on dynamics feedforward
    Hu, Shunjing
    Wan, Yi
    Liang, Xichang
    Zhang, Shilei
    PROCEEDINGS OF THE 2024 3RD INTERNATIONAL SYMPOSIUM ON INTELLIGENT UNMANNED SYSTEMS AND ARTIFICIAL INTELLIGENCE, SIUSAI 2024, 2024, : 344 - 348