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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iranian Neuroscience Society
2021
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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 |
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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 |
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