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
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