Tracking control of time-varying knee exoskeleton disturbed by interaction torque

被引:24
|
作者
Li, Zhan [1 ]
Ma, Wenhao [1 ]
Yin, Ziguang [1 ]
Guo, Hongliang [1 ]
机构
[1] UESTC, Ctr Robot, Sch Automat Engn, Chengdu 611731, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Exoskeleton; Time-varying; Tracking control; Interaction torque; Gradient dynamics (GD); SLIDING-MODE CONTROL; OBSERVER; DESIGN; ZNN;
D O I
10.1016/j.isatra.2017.08.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Knee exoskeletons have been increasingly applied as assistive devices to help lower-extremity impaired people to make their knee joints move through providing external movement compensation. Tracking control of knee exoskeletons guided by human intentions often encounters time-varying (time-dependent) issues and the disturbance interaction torque, which may dramatically put an influence up on their dynamic behaviors. Inertial and viscous parameters of knee exoskeletons can be estimated to be time varying due to unexpected mechanical vibrations and contact interactions. Moreover, the interaction torque produced from knee joint of wearers has an evident disturbance effect on regular motions of knee exoskeleton. All of these points can increase difficultly of accurate control of knee exoskeletons to follow desired joint angle trajectories. This paper proposes a novel control strategy for controlling knee exoskeleton with time-varying inertial and viscous coefficients disturbed by interaction torque. Such designed controller is able to make the tracking error of joint angle of knee exoskeletons exponentially converge to zero. Meanwhile, the proposed approach is robust to guarantee the tracking error bounded when the interaction torque exists. Illustrative simulation and experiment results are presented to show efficiency of the proposed controller. Additionally, comparisons with gradient dynamic (GD) approach and other methods are also presented to demonstrate efficiency and superiority of the proposed control strategy for tracking joint angle of knee exoskeleton. (C) 2017 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:458 / 466
页数:9
相关论文
共 50 条
  • [1] Time-varying Stiffness Tracking Control of Knee Exoskeleton
    Ma, Wenhao
    Cheng, Hong
    Li, Zhan
    Qiu, Jing
    2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017), 2017, : 1665 - 1669
  • [2] Tracking Control of Knee Exoskeleton with Time-Varying Model Coefficients under Compliant Interaction
    Li, Zhan
    Yin, Ziguang
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 6602 - 6607
  • [3] Time-varying Force Tracking in Impedance Control
    Xu, Wenkang
    Cai, Chenxiao
    Yin, Minghui
    Zou, Yun
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 344 - 349
  • [4] Adaptive Tracking Control of Nonlinear Time-Varying Systems with Unknown Control Coefficients and Unknown Time-Varying Parameters
    Zhou, Jing
    2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 1025 - 1030
  • [5] Dynamic control allocation for tracking time-varying control demand
    Kishore, W. C. Arun
    Sen, S.
    Ray, G.
    Ghoshal, T. K.
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2008, 31 (04) : 1150 - 1157
  • [6] Nonovershooting multivariable tracking control for time-varying references
    Schmid, Robert
    Ntogramatzidis, Lorenzo
    Gao, Suzhan
    2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2013, : 1435 - 1440
  • [7] Houtput tracking control for flight control systems with time-varying delay
    Zhang Yingxin
    Wang Qing
    Dong Chaoyang
    Jiang Yifan
    Chinese Journal of Aeronautics, 2013, (05) : 1251 - 1258
  • [8] Robust tracking control for the yaw control of helicopter with time-varying uncertainty
    Zhao, Xingang
    Han, Jianda
    IECON 2007: 33RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3, CONFERENCE PROCEEDINGS, 2007, : 816 - 821
  • [9] Optimal Feedforward Torque Control of Synchronous Machines with Time-varying Parameters
    Glac, Antonin
    Smidl, Vaclav
    Peroutka, Zdenek
    IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2018, : 613 - 618
  • [10] Adaptive sliding mode control for disturbed multirobot systems performing target tracking under continuously time-varying topologies
    Dong, Lijing
    Han, Chongchong
    Du, Shengli
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 17 (03):