Integrated Observer-based Fixed-time Control with Backstepping Method for Exoskeleton Robot

被引:12
|
作者
Zhang, Gao-Wei [1 ,2 ]
Yang, Peng [1 ,2 ]
Wang, Jie [1 ,2 ]
Sun, Jian-Jun [1 ,2 ]
Zhang, Yan [1 ,2 ]
机构
[1] Hebei Univ Technol, Sch Artificial Intelligence, Tianjin 300130, Peoples R China
[2] Minist Educ, Enginnering Res Ctr Intelligent Rehabil & Detect, Tianjin 300130, Peoples R China
基金
中国国家自然科学基金;
关键词
Upper-limb exoskeleton; sliding mode control (SMC); fixed-time control; disturbance observe; backstepping; SLIDING MODE CONTROL; UPPER-LIMB EXOSKELETON; FEEDBACK CONTROL SCHEME; CONTROL DESIGN; TRACKING; SYSTEMS;
D O I
10.1007/s11633-019-1201-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To achieve the fast convergence and tracking precision of a robotic upper-limb exoskeleton, this paper proposes an observer-based integrated fixed-time control scheme with a backstepping method. Firstly, a typical 5 DoF (degrees of freedom) dynamics is constructed by Lagrange equations and processed for control purposes. Secondly, second-order sliding mode controllers (SOSMC) are developed and novel sliding mode surfaces are introduced to ensure the fixed-time convergence of the human-robot system. Both the reaching time and settling time are proved to be bounded with certain values independent of initial system conditions. For the purpose of rejecting the matched and unmatched disturbances, nonlinear fixed-time observers are employed to estimate the exact value of disturbances and compensate the controllers online. Ultimately, the synthesis of controllers and disturbance observers is adopted to achieve the excellent tracking performance and simulations are given to verify the effectiveness of the proposed control strategy.
引用
收藏
页码:71 / 82
页数:12
相关论文
共 50 条
  • [1] Integrated Observer-based Fixed-time Control with Backstepping Method for Exoskeleton Robot
    Gao-Wei Zhang
    Peng Yang
    Jie Wang
    Jian-Jun Sun
    Yan Zhang
    International Journal of Automation and Computing, 2020, 17 : 71 - 82
  • [2] Integrated Observer-based Fixed-time Control with Backstepping Method for Exoskeleton Robot
    Gao-Wei Zhang
    Peng Yang
    Jie Wang
    Jian-Jun Sun
    Yan Zhang
    Machine Intelligence Research, 2020, 17 (01) : 71 - 82
  • [3] Dynamic Modeling and Observer-Based Fixed-Time Backstepping Control for a Hypersonic Morphing Waverider
    Fang, Zheng
    Li, Zheng
    Jia, Zhenyue
    Li, Jiaxun
    Yu, Jianqiao
    APPLIED SCIENCES-BASEL, 2024, 14 (13):
  • [4] Fixed-time Disturbance Observer-Based Finite-Time Backstepping Control for Hypersonic Vehicle
    Zhang, Bangchu
    Rao, Shuitao
    Kuang, Yu
    Bai, Zhuo
    Zhu, Weiyu
    6TH INTERNATIONAL CONFERENCE ON AERONAUTICAL, AEROSPACE AND MECHANICAL ENGINEERING, AAME 2023, 2023, 2512
  • [5] Fixed-time disturbance observer-based parafoil control method and application
    Guo Y.-M.
    Yan J.-G.
    Xiao B.
    Wu C.-H.
    Xing X.-J.
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2023, 40 (02): : 390 - 399
  • [6] Fixed-Time Sliding Mode Disturbance Observer-Based Nonsmooth Backstepping Control for Hypersonic Vehicles
    Sun, Jinlin
    Yi, Jianqiang
    Pu, Zhiqiang
    Tan, Xiangmin
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 50 (11): : 4377 - 4386
  • [7] Disturbance observer-based robust fixed-time integrated trajectory tracking control for space manipulator
    Yao, Qijia
    ROBOTICA, 2022, 40 (09) : 3214 - 3232
  • [8] Observer-based multivariable fixed-time formation control of mobile robots
    Li Yandong
    Zhu Ling
    Guo Yuan
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2020, 31 (02) : 403 - 414
  • [9] Observer-based Fixed-time Consensus Control for Nonlinear Multiagent Systems
    Sun, Shaoxin
    Dai, Xin
    Hua, Xingxing
    Duan, Jie
    Li, Yanling
    Yu, Dufeng
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 22 (09) : 2812 - 2822
  • [10] Observer-Based Fixed-Time Neural Control for a Class of Nonlinear Systems
    Zhang, Yan
    Wang, Fang
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (07) : 2892 - 2902