4.7 Article

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

期刊

ISA TRANSACTIONS
卷 71, 期 -, 页码 458-466

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2017.08.004

关键词

Exoskeleton; Time-varying; Tracking control; Interaction torque; Gradient dynamics (GD)

资金

  1. National Natural Science Foundation of China (NSFC) [61603078]
  2. Fundamental Research Funds for the Central Universities at University of Electronic Science and Technology of China (UESTC) [ZYGX2015KYQD044]

向作者/读者索取更多资源

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.

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