Multi-mode adaptive control strategy for a lower limb rehabilitation robot
Liang, Xu6; Yan, Yuchen5; Dai, Shenghua6; Guo, Zhao4; Li, Zheng3; Liu, Shengda2; Su, Tingting1
刊名FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
2024-05-16
卷号12页码:15
关键词impedance control rehabilitation robot multi-mode adaptive control human-robot interaction rehabilitation training strategy
ISSN号2296-4185
DOI10.3389/fbioe.2024.1392599
通讯作者Su, Tingting(sutingting@bjut.edu.cn)
英文摘要Different patients have different rehabilitation requirements. It is essential to ensure the safety and comfort of patients at different recovery stages during rehabilitation training. This study proposes a multi-mode adaptive control method to achieve a safe and compliant rehabilitation training strategy. First, patients' motion intention and motor ability are evaluated based on the average human-robot interaction force per task cycle. Second, three kinds of rehabilitation training modes-robot-dominant, patient-dominant, and safety-stop-are established, and the adaptive controller can dexterously switch between the three training modes. In the robot-dominant mode, based on the motion errors, the patient's motor ability, and motion intention, the controller can adaptively adjust its assistance level and impedance parameters to help patients complete rehabilitation tasks and encourage them to actively participate. In the patient-dominant mode, the controller only adjusts the training speed. When the trajectory error is too large, the controller switches to the safety-stop mode to ensure patient safety. The stabilities of the adaptive controller under three training modes are then proven using Lyapunov theory. Finally, the effectiveness of the multi-mode adaptive controller is verified by simulation results.
资助项目National Key R&D Program of China[2023YFE0202100] ; Natural Science Foundation of China[62373013] ; Natural Science Foundation of China[62103007] ; Natural Science Foundation of China[62203442] ; Natural Science Foundation of China[62003005] ; R&D Program of Beijing Municipal Education Commission[KM202110009009] ; R&D Program of Beijing Municipal Education Commission[KM202210009010] ; Natural Science Foundation of Beijing[L202020] ; Natural Science Foundation of Beijing[4204097] ; Talent Fund of Beijing Jiaotong University[KAIXKRC24003532]
WOS关键词GESTURE RECOGNITION ; TECHNOLOGY
WOS研究方向Biotechnology & Applied Microbiology ; Engineering
语种英语
出版者FRONTIERS MEDIA SA
WOS记录号WOS:001234333400001
资助机构National Key R&D Program of China ; Natural Science Foundation of China ; R&D Program of Beijing Municipal Education Commission ; Natural Science Foundation of Beijing ; Talent Fund of Beijing Jiaotong University
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/58471]  
专题多模态人工智能系统全国重点实验室_医疗机器人
通讯作者Su, Tingting
作者单位1.Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
3.Chinese Univ Hong Kong, Fac Med, Shatin, Hong Kong, Peoples R China
4.Wuhan Univ, Sch Power & Mech Engn, Wuhan, Peoples R China
5.North China Univ Technol, Dept Mech & Elect Engn, Beijing, Peoples R China
6.Beijing Jiaotong Univ, Sch Automat & Intelligence, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Liang, Xu,Yan, Yuchen,Dai, Shenghua,et al. Multi-mode adaptive control strategy for a lower limb rehabilitation robot[J]. FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY,2024,12:15.
APA Liang, Xu.,Yan, Yuchen.,Dai, Shenghua.,Guo, Zhao.,Li, Zheng.,...&Su, Tingting.(2024).Multi-mode adaptive control strategy for a lower limb rehabilitation robot.FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY,12,15.
MLA Liang, Xu,et al."Multi-mode adaptive control strategy for a lower limb rehabilitation robot".FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY 12(2024):15.
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