Impedance modulation control of a lower limb exoskeleton to assist sit-to-stand movements
File(s)STS_TRO_Final_version.pdf (5.37 MB)
Accepted version
Author(s)
Type
Journal Article
Abstract
As an important movement of the daily living activities, sit-to-stand (STS) movement is usually a difficult task facing
elderly and dependent people. In this article, a novel impedance
modulation strategy of a lower limb exoskeleton is proposed to
provide appropriate power and balance assistance during STS
movements while preserving the wearer’s control priority. The
impedance modulation control strategy ensures adaptation of the
mechanical impedance of the human-exoskeleton system towards
a desired one requiring less wearer’s effect while reinforcing the
wearer’s balance control ability during STS movements. A human
joint torque observer is designed to estimate the joint torques
developed by the wearer using joint position kinematics instead of
electromyography (EMG) or force sensors; a time-varying desired
impedance model is proposed according to the wearer’s lower
limb motion ability. A virtual environmental force is designed
for the balance reinforcement control. Stability and robustness of
the proposed method are theoretically analyzed. Simulations were
implemented to illustrate the characteristics and performance of
the proposed approach. Experiments with four healthy subjects
were carried out to evaluate the effectiveness of the proposed
method and show satisfactory results in terms of appropriate
power assist and balance reinforcement.
elderly and dependent people. In this article, a novel impedance
modulation strategy of a lower limb exoskeleton is proposed to
provide appropriate power and balance assistance during STS
movements while preserving the wearer’s control priority. The
impedance modulation control strategy ensures adaptation of the
mechanical impedance of the human-exoskeleton system towards
a desired one requiring less wearer’s effect while reinforcing the
wearer’s balance control ability during STS movements. A human
joint torque observer is designed to estimate the joint torques
developed by the wearer using joint position kinematics instead of
electromyography (EMG) or force sensors; a time-varying desired
impedance model is proposed according to the wearer’s lower
limb motion ability. A virtual environmental force is designed
for the balance reinforcement control. Stability and robustness of
the proposed method are theoretically analyzed. Simulations were
implemented to illustrate the characteristics and performance of
the proposed approach. Experiments with four healthy subjects
were carried out to evaluate the effectiveness of the proposed
method and show satisfactory results in terms of appropriate
power assist and balance reinforcement.
Date Acceptance
2021-07-08
Citation
IEEE Transactions on Robotics, 38 (2), pp.1230-1249
ISSN
1552-3098
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1230
End Page
1249
Journal / Book Title
IEEE Transactions on Robotics
Volume
38
Issue
2
Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Medical Research Council
Grant Number
EP/R511547/1
EP/K503381/1
UKDRI-7003
Subjects
Science & Technology
Technology
Robotics
Impedance
Exoskeletons
Muscles
Hip
Modulation
Adaptation models
Torque
Balance reinforcement
exoskeleton
impedance control
sit-to-stand (STS) movement
INERTIAL PARAMETERS
HEALTHY
KNEE
STRATEGIES
ORTHOSES
STRENGTH
CHAIR
0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
0913 Mechanical Engineering
Industrial Engineering & Automation
Publication Status
Published
Date Publish Online
2021-09-06