A control strategy based on intelligent algorithm (PSO) to perform electrical stimulation systems

Abstract : Adjusting stimulation parameters using control strategy based on reliable mathematical model that can predict perfectly the muscle response, may improve the efficiency of Functional Electrical Stimulation (FES) systems. In the present project, we investigate the PID control tuning based on the Particle Swarm Optimization (PSO) algorithm at the first time in neuro-muscular systems for updating automatically the stimulation pulse amplitude to track a desired force profiles. In the beginning, The PSO algorithm is used to identify unknown force model parameters. Next, optimal PID gains are found by the same intelligent algorithm to improve the control system. The obtained results showed promise in application of intelligent algorithm tuning PID methods in FES systems.
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Communication dans un congrès
Journées d'Etude sur la TéléSANté, 6ème edition, May 2017, Bourges, France. 2017
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https://hal.archives-ouvertes.fr/hal-01692459
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Soumis le : jeudi 25 janvier 2018 - 10:48:34
Dernière modification le : vendredi 8 juin 2018 - 14:50:26
Document(s) archivé(s) le : jeudi 24 mai 2018 - 20:21:02

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Jetsant2017_Ben_Hmed.pdf
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  • HAL Id : hal-01692459, version 1

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Abdennacer Ben Hmed, Toufik Bakir, Anis Sakly, Stéphane Binczak. A control strategy based on intelligent algorithm (PSO) to perform electrical stimulation systems. Journées d'Etude sur la TéléSANté, 6ème edition, May 2017, Bourges, France. 2017. 〈hal-01692459〉

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