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Passive hand rehabilitation training through robots: An iterative learning control approach

  • H. Long Cheng*
  • , Siyuan Liu
  • , Deyuan Meng
  • *此作品的通讯作者
  • CAS - Institute of Automation
  • University of Chinese Academy of Sciences
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Robots are widely used in the field of medical rehabilitation to assist patients to conduct rehabilitation training. Due to the repetition nature of the rehabilitation training, this paper proposes an iterative learning controller equipped with feedback mechanism for the passive hand rehabilitation training, which is based on a cable-driven hand exoskeleton robot. Thanks to the use of the information from previous iterations, the desired trajectory can be perfectly tracked over a finite duration. Moreover, the monotonic convergence of the proposed iterative learning controller can be achieved under a sufficient condition. In addition, our iterative learning controller is applied to the hand exoskeleton robot in both the simulation tests and the physical trajectory tracking experiments, which demonstrates its effectiveness and desired control performance.

源语言英语
主期刊名2021 6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021
出版商Institute of Electrical and Electronics Engineers Inc.
651-656
页数6
ISBN(电子版)9780738133645
DOI
出版状态已出版 - 3 7月 2021
活动6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021 - Chongqing, 中国
期限: 3 7月 20215 7月 2021

出版系列

姓名2021 6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021

会议

会议6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021
国家/地区中国
Chongqing
时期3/07/215/07/21

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