Volume 12, Issue 4 (July & August 2021)                   BCN 2021, 12(4): 441-452 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Rastegar M, Kobravi H R. A Hybrid-FES Based Control System for Knee Joint Movement Control. BCN 2021; 12 (4) :441-452
URL: http://bcn.iums.ac.ir/article-1-1488-en.html
1- Department of Biomedical Engineering, Research Center of Biomedical Engineering, Islamic Azad University of Mashhad, Mashhad, Iran.
Abstract:  
Introduction: Utilizing Functional Electrical Stimulation (FES) and rehabilitation robots for motion control is an open research problem. In this paper, a new control algorithm has been proposed which was de-signed based on a combination of FES and an active mechanical actuator to control the knee joint movement. 
Methods: An adaptive controller and a Proportional-Derivative (PD) controller have adjusted the mo-tor torque and stimulation intensity, respectively. The FES controller was activated whenever a dis-turbance observer detected the presence of the external disturbance. In this manner, the occurrence of the muscle fatigue arises from the FES can be postponed.
Results: The simulation studies were carried out on a model of muscle-joint system along with a model of a servo-motor. The computed RMS of the tracking errors compared to the range of knee motion show that the tracking performance is acceptable. In this research, the trajectories envisioned as the knee joint reference trajectory were designed using the recorded human data.
Conclusion: The achieved results prove the ability of the proposed control strategy to not only reject the external disturbance but also compensate the muscle fatigue.
Full-Text [PDF 1331 kb]   |   |   Full-Text (HTML)   
Type of Study: Original | Subject: Clinical Neuroscience
Received: 2019/05/1 | Accepted: 2021/06/26 | Published: 2021/07/1

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Basic and Clinical Neuroscience

Designed & Developed by : Yektaweb