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Passive and active rehabilitation control of human upper-limb exoskeleton robot with dynamic uncertainties

Published online by Cambridge University Press:  08 August 2018

Brahim Brahmi ,
Maarouf Saad ,
Cristobal Ochoa Luna ,
Philippe S. Archambault  and
Mohammad H. Rahman
Brahim Brahmi*
Affiliation:
Electrical Engineering Department, École de technologie supérieure, Montreal, Canada. E-mail: [email protected]
Maarouf Saad
Affiliation:
Electrical Engineering Department, École de technologie supérieure, Montreal, Canada. E-mail: [email protected]
Cristobal Ochoa Luna
Affiliation:
School of Physical & Occupational Therapy, McGill University; Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, Canada. E-mails: [email protected], [email protected]
Philippe S. Archambault
Affiliation:
School of Physical & Occupational Therapy, McGill University; Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, Canada. E-mails: [email protected], [email protected]
Mohammad H. Rahman
Affiliation:
Mechanical Engineering Department, University of Wisconsin-Milwaukee, WI, USA. E-mail: [email protected]
*
*Corresponding author. E-mail: [email protected]
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Summary

This paper investigates the passive and active control strategies to provide a physical assistance and rehabilitation by a 7-DOF exoskeleton robot with nonlinear uncertain dynamics and unknown bounded external disturbances due to the robot user's physiological characteristics. An Integral backstepping controller incorporated with Time Delay Estimation (BITDE) is used, which permits the exoskeleton robot to achieve the desired performance of working under the mentioned uncertainties constraints. Time Delay Estimation (TDE) is employed to estimate the nonlinear uncertain dynamics of the robot and the unknown disturbances. To overcome the limitation of the time delay error inherent of the TDE approach, a recursive algorithm is used to further reduce its effect. The integral action is employed to decrease the impact of the unmodeled dynamics. Besides, the Damped Least Square method is introduced to estimate the desired movement intention of the subject with the objective to provide active rehabilitation. The controller scheme is to ensure that the robot system performs passive and active rehabilitation exercises with a high level of tracking accuracy and robustness, despite the unknown dynamics of the exoskeleton robot and the presence of unknown bounded disturbances. The design, stability, and convergence analysis are formulated and proven based on the Lyapunov–Krasovskii functional theory. Experimental results with healthy subjects, using a virtual environment, show the feasibility, and ease of implementation of the control scheme. Its robustness and flexibility to deal with parameter variations due to the unknown external disturbances are also shown.

Keywords

Backstepping integral controlTime delay estimationPassive and active rehabilitationTime delay error
Type
Articles
Information
Robotica , Volume 36 , Issue 11 , November 2018 , pp. 1757 - 1779
Copyright
Copyright © Cambridge University Press 2018 

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