Cargando…

A Hybrid-FES Based Control System for Knee Joint Movement Control

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 j...

Descripción completa

Detalles Bibliográficos
Autores principales: Rastegar, Mojdeh, Kobravi, Hamid Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Iranian Neuroscience Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817180/
https://www.ncbi.nlm.nih.gov/pubmed/35154585
http://dx.doi.org/10.32598/bcn.2021.173.3
_version_ 1784645585145430016
author Rastegar, Mojdeh
Kobravi, Hamid Reza
author_facet Rastegar, Mojdeh
Kobravi, Hamid Reza
author_sort Rastegar, Mojdeh
collection PubMed
description 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 motor torque and stimulation intensity, respectively. The FES controller was activated whenever a disturbance 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.
format Online
Article
Text
id pubmed-8817180
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Iranian Neuroscience Society
record_format MEDLINE/PubMed
spelling pubmed-88171802022-02-10 A Hybrid-FES Based Control System for Knee Joint Movement Control Rastegar, Mojdeh Kobravi, Hamid Reza Basic Clin Neurosci Research Paper 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 motor torque and stimulation intensity, respectively. The FES controller was activated whenever a disturbance 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. Iranian Neuroscience Society 2021 2021-07-01 /pmc/articles/PMC8817180/ /pubmed/35154585 http://dx.doi.org/10.32598/bcn.2021.173.3 Text en Copyright© 2021 Iranian Neuroscience Society https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle Research Paper
Rastegar, Mojdeh
Kobravi, Hamid Reza
A Hybrid-FES Based Control System for Knee Joint Movement Control
title A Hybrid-FES Based Control System for Knee Joint Movement Control
title_full A Hybrid-FES Based Control System for Knee Joint Movement Control
title_fullStr A Hybrid-FES Based Control System for Knee Joint Movement Control
title_full_unstemmed A Hybrid-FES Based Control System for Knee Joint Movement Control
title_short A Hybrid-FES Based Control System for Knee Joint Movement Control
title_sort hybrid-fes based control system for knee joint movement control
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817180/
https://www.ncbi.nlm.nih.gov/pubmed/35154585
http://dx.doi.org/10.32598/bcn.2021.173.3
work_keys_str_mv AT rastegarmojdeh ahybridfesbasedcontrolsystemforkneejointmovementcontrol
AT kobravihamidreza ahybridfesbasedcontrolsystemforkneejointmovementcontrol
AT rastegarmojdeh hybridfesbasedcontrolsystemforkneejointmovementcontrol
AT kobravihamidreza hybridfesbasedcontrolsystemforkneejointmovementcontrol