Research on control strategies for ankle rehabilitation using parallel mechanism
For patients with ankle injuries, rehabilitation training is an important and effective way to help patients restore their ankle complex's motor abilities. Aiming to improve the accuracy and performance of ankle rehabilitation, the authors focus on the control strategies of the developed parall...
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doaj-b5b37dc32b8b4d119a8b5e949714a7ef2021-04-02T06:30:32ZengWileyCognitive Computation and Systems2517-75672020-05-0110.1049/ccs.2020.0012CCS.2020.0012Research on control strategies for ankle rehabilitation using parallel mechanismJianfeng Li0Wenpei Fan1Mingjie Dong2Xi Rong3College of Mechanical Engineering and Applied Electronics Technology, Beijing University of TechnologyCollege of Mechanical Engineering and Applied Electronics Technology, Beijing University of TechnologyCollege of Mechanical Engineering and Applied Electronics Technology, Beijing University of TechnologyAffiliated Hospital of Qingdao UniversityFor patients with ankle injuries, rehabilitation training is an important and effective way to help patients restore their ankle complex's motor abilities. Aiming to improve the accuracy and performance of ankle rehabilitation, the authors focus on the control strategies of the developed parallel ankle rehabilitation robot with novel 2-UPS/RRR mechanism. Firstly, the kinematics model of the mechanism is established, and they deduce the inverse solution of positions as well as the velocity mapping between the driving speed and the robot's angular velocity, based on which they realise the trajectory tracking control in the process of passive rehabilitation training. Secondly, they set up experiments to determine the torque threshold that can be used to detect the motion intention of ankle joint, and then they propose the active rehabilitation training strategy according to the motion intention detection. Finally, experiments were carried out with healthy subjects, with results showing that the trajectory tracking error during passive rehabilitation training is very small, and the moving platform of the ankle rehabilitation robot can drive the ankle joint to the detected motion intention direction at a constant speed flexibly and smoothly, which verifies the effectiveness of the control strategies for ankle rehabilitation training.https://digital-library.theiet.org/content/journals/10.1049/ccs.2020.0012robot kinematicsinjuriespatient rehabilitationmedical signal processingmedical roboticsposition controlbiomechanicsankle rehabilitation trainingdetected motion intention directionmotion intention detectionactive rehabilitation training strategyankle jointpassive rehabilitation trainingtrajectory tracking controldeveloped parallel ankle rehabilitation robotankle complexankle injuriesparallel mechanismcontrol strategies |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jianfeng Li Wenpei Fan Mingjie Dong Xi Rong |
spellingShingle |
Jianfeng Li Wenpei Fan Mingjie Dong Xi Rong Research on control strategies for ankle rehabilitation using parallel mechanism Cognitive Computation and Systems robot kinematics injuries patient rehabilitation medical signal processing medical robotics position control biomechanics ankle rehabilitation training detected motion intention direction motion intention detection active rehabilitation training strategy ankle joint passive rehabilitation training trajectory tracking control developed parallel ankle rehabilitation robot ankle complex ankle injuries parallel mechanism control strategies |
author_facet |
Jianfeng Li Wenpei Fan Mingjie Dong Xi Rong |
author_sort |
Jianfeng Li |
title |
Research on control strategies for ankle rehabilitation using parallel mechanism |
title_short |
Research on control strategies for ankle rehabilitation using parallel mechanism |
title_full |
Research on control strategies for ankle rehabilitation using parallel mechanism |
title_fullStr |
Research on control strategies for ankle rehabilitation using parallel mechanism |
title_full_unstemmed |
Research on control strategies for ankle rehabilitation using parallel mechanism |
title_sort |
research on control strategies for ankle rehabilitation using parallel mechanism |
publisher |
Wiley |
series |
Cognitive Computation and Systems |
issn |
2517-7567 |
publishDate |
2020-05-01 |
description |
For patients with ankle injuries, rehabilitation training is an important and effective way to help patients restore their ankle complex's motor abilities. Aiming to improve the accuracy and performance of ankle rehabilitation, the authors focus on the control strategies of the developed parallel ankle rehabilitation robot with novel 2-UPS/RRR mechanism. Firstly, the kinematics model of the mechanism is established, and they deduce the inverse solution of positions as well as the velocity mapping between the driving speed and the robot's angular velocity, based on which they realise the trajectory tracking control in the process of passive rehabilitation training. Secondly, they set up experiments to determine the torque threshold that can be used to detect the motion intention of ankle joint, and then they propose the active rehabilitation training strategy according to the motion intention detection. Finally, experiments were carried out with healthy subjects, with results showing that the trajectory tracking error during passive rehabilitation training is very small, and the moving platform of the ankle rehabilitation robot can drive the ankle joint to the detected motion intention direction at a constant speed flexibly and smoothly, which verifies the effectiveness of the control strategies for ankle rehabilitation training. |
topic |
robot kinematics injuries patient rehabilitation medical signal processing medical robotics position control biomechanics ankle rehabilitation training detected motion intention direction motion intention detection active rehabilitation training strategy ankle joint passive rehabilitation training trajectory tracking control developed parallel ankle rehabilitation robot ankle complex ankle injuries parallel mechanism control strategies |
url |
https://digital-library.theiet.org/content/journals/10.1049/ccs.2020.0012 |
work_keys_str_mv |
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1724172003752017920 |