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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Main Authors: Jianfeng Li, Wenpei Fan, Mingjie Dong, Xi Rong
Format: Article
Language:English
Published: Wiley 2020-05-01
Series:Cognitive Computation and Systems
Subjects:
Online Access:https://digital-library.theiet.org/content/journals/10.1049/ccs.2020.0012
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spelling 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 AT jianfengli researchoncontrolstrategiesforanklerehabilitationusingparallelmechanism
AT wenpeifan researchoncontrolstrategiesforanklerehabilitationusingparallelmechanism
AT mingjiedong researchoncontrolstrategiesforanklerehabilitationusingparallelmechanism
AT xirong researchoncontrolstrategiesforanklerehabilitationusingparallelmechanism
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