Adaptive terminal sliding mode control of ankle movement using functional electrical stimulation of agonist-antagonist muscles
This paper presents a robust control strategy which is based on synergistic combination of an adaptive controller with terminal sliding mode control (TSMC) for online control of ankle movement using functional electrical stimulation (FES) of dorsiflexor and plantar flexor muscles in paraplegic subje...
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Published in | 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Vol. 2010; pp. 5448 - 5451 |
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Main Authors | , |
Format | Conference Proceeding Journal Article |
Language | English |
Published |
United States
IEEE
01.01.2010
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Subjects | |
Online Access | Get full text |
ISBN | 1424441234 9781424441235 |
ISSN | 1094-687X 1557-170X |
DOI | 10.1109/IEMBS.2010.5626508 |
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Abstract | This paper presents a robust control strategy which is based on synergistic combination of an adaptive controller with terminal sliding mode control (TSMC) for online control of ankle movement using functional electrical stimulation (FES) of dorsiflexor and plantar flexor muscles in paraplegic subjects. The major advantage of TSMC derives from the property of robustness to system uncertainties and external disturbances with fast convergence without imposing strong control force. To implement TSMC, a model of neuromusculoskeletal system should be presented in standard canonical form. In this work, we design an adaptive updating law to estimate the parameters of the model during online control without requiring offline learning phase. The experimental results on two paraplegic subjects show that the TSMC provides excellent tracking control for different reference trajectories and could generate control signals to compensate the effects of muscle fatigue and external disturbance. |
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AbstractList | This paper presents a robust control strategy which is based on synergistic combination of an adaptive controller with terminal sliding mode control (TSMC) for online control of ankle movement using functional electrical stimulation (FES) of dorsiflexor and plantar flexor muscles in paraplegic subjects. The major advantage of TSMC derives from the property of robustness to system uncertainties and external disturbances with fast convergence without imposing strong control force. To implement TSMC, a model of neuromusculoskeletal system should be presented in standard canonical form. In this work, we design an adaptive updating law to estimate the parameters of the model during online control without requiring offline learning phase. The experimental results on two paraplegic subjects show that the TSMC provides excellent tracking control for different reference trajectories and could generate control signals to compensate the effects of muscle fatigue and external disturbance. |
Author | Nekoukar, V Erfanian, A |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21096281$$D View this record in MEDLINE/PubMed |
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Snippet | This paper presents a robust control strategy which is based on synergistic combination of an adaptive controller with terminal sliding mode control (TSMC) for... |
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SubjectTerms | Algorithms Ankle Joint - physiopathology Convergence Electric Stimulation Therapy - methods Humans Joints Manipulator dynamics Movement - physiology Muscles Muscles - physiopathology Neuromuscular stimulation Paraplegia - physiopathology Sliding mode control Uncertainty |
Title | Adaptive terminal sliding mode control of ankle movement using functional electrical stimulation of agonist-antagonist muscles |
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