Robust finite-time trajectory tracking control for a space manipulator with parametric uncertainties and external disturbances

被引:8
|
作者
Yao, Qijia [1 ]
机构
[1] Beijing Inst Technol, Sch Aerosp Engn, 5 South Zhongguancun St, Beijing 100081, Peoples R China
关键词
Space manipulator; trajectory tracking control; finite-time control; robust control; finite-time disturbance observer; COORDINATED CONTROL; ADAPTIVE-CONTROL; ROBOT; DYNAMICS;
D O I
10.1177/09544100211014754
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Space manipulator is considered as one of the most promising technologies for future space activities owing to its important role in various on-orbit serving missions. In this study, a robust finite-time tracking control method is proposed for the rapid and accurate trajectory tracking control of an attitude-controlled free-flying space manipulator in the presence of parametric uncertainties and external disturbances. First, a baseline finite-time tracking controller is designed to track the desired position of the space manipulator based on the homogeneous method. Then, a finite-time disturbance observer is designed to accurately estimate the lumped uncertainties. Finally, a robust finite-time tracking controller is developed by integrating the baseline finite-time tracking controller with the finite-time disturbance observer. Rigorous theoretical analysis for the global finite-time stability of the whole closed-loop system is provided. The proposed robust finite-time tracking controller has a relatively simple structure and can guarantee the position and velocity tracking errors converge to zero in finite time even subject to lumped uncertainties. To the best of the authors' knowledge, there are really limited existing controllers can achieve such excellent performance under the same conditions. Numerical simulations illustrate the effectiveness and superiority of the proposed control method.
引用
收藏
页码:396 / 409
页数:14
相关论文
共 50 条
  • [21] Adaptive Neural Finite-time Trajectory Tracking Control of MSVs Subject to Uncertainties
    Qiang Zhang
    Meijuan Zhang
    Renming Yang
    Namkyun Im
    International Journal of Control, Automation and Systems, 2021, 19 : 2238 - 2250
  • [22] Adaptive Neural Finite-time Trajectory Tracking Control of MSVs Subject to Uncertainties
    Zhang, Qiang
    Zhang, Meijuan
    Yang, Renming
    Im, Namkyun
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2021, 19 (06) : 2238 - 2250
  • [23] Trajectory Tracking Control of an Aerial Manipulator in the Presence of Disturbances and Model Uncertainties
    Pedrocco, Mattia
    Pasetto, Alberto
    Fanti, Giulio
    Benato, Alberto
    Cocuzza, Silvio
    APPLIED SCIENCES-BASEL, 2024, 14 (06):
  • [24] Robust adaptive finite-time trajectory tracking control of a quadrotor aircraft
    Wu, Di
    Zhang, Weijian
    Du, Haibo
    Wang, Xiangyu
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2021, 31 (16) : 8030 - 8054
  • [25] Robust Finite-Time Tracking Control Based on Disturbance Observer for an Uncertain Quadrotor under External Disturbances
    Hassani, Hamid
    Mansouri, Anass
    Ahaitouf, Ali
    JOURNAL OF ROBOTICS, 2022, 2022
  • [26] Finite-Time Trajectory Tracking Control for Rodless Pneumatic Cylinder Systems With Disturbances
    Zhao, Ling
    Gu, Shaomeng
    Zhang, Jinhui
    Li, Sihang
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (04) : 4137 - 4147
  • [27] Finite-time trajectory tracking control in a task space of robotic manipulators
    Galicki, Miroslaw
    AUTOMATICA, 2016, 67 : 165 - 170
  • [28] Robust Finite-Time Attitude Tracking Control for Nonlinear Quadrotor with Uncertainties and Delays
    Zheng, Xiang
    Wang, Ziwei
    Zhang, Tao
    2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017), 2017, : 1775 - 1780
  • [29] FINITE-TIME TRACKING CONTROL OF MULTIPLE NONHOLONOMIC MOBILE ROBOTS WITH EXTERNAL DISTURBANCES
    Ou, Meiying
    Gu, Shengwei
    Wang, Xianbing
    Dong, Kexiu
    KYBERNETIKA, 2015, 51 (06) : 1049 - 1067
  • [30] Hierarchical trajectory tracking control for ROVs subject to disturbances and parametric uncertainties
    Long, Chengqi
    Hu, Manjiang
    Qin, Xiaohui
    Bian, Yougang
    Ocean Engineering, 2022, 266