A Novel Strategy for Adjusting Current Pulse Amplitude of FES-Systems with PID based on PSO Algorithm Method to Control the Muscle Force:

Abdennacer Ben Hmed 1 Toufik Bakir 1 Yoann Garnier 2 Stéphane Binczak 1 Anis Sakly 3
1 Le2i - Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508]
2 CAPS - Cognition, Action, et Plasticité Sensorimotrice [Dijon - U1093]
3 ESIER - Unité Etudes des Systèmes Industrielles et des Energies Renouvelables
Abstract : Adjusting stimulation parameters using control strategy based on mathematical model, that successfully predict muscle force, may improve the efficiency of Functional Electrical Stimulation (FES) systems. It present an interesting task in industrial FES systems applications. In the present study, 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, according to the identified model, optimal PID gains are found by the same intelligent algorithm. The preliminary obtained results showed promise of using intelligent algorithm on tuning PID to perform control sessions of FES systems.
Keywords : Functional Electrical Stimulation(FES) Muscle Force Model PID Controller PSO Algorithm Pulse Amplitude.
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Communication dans un congrès
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01628064
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : jeudi 2 novembre 2017 - 19:40:37
Dernière modification le : vendredi 24 mai 2019 - 15:20:09

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UNIV-BOURGOGNE | CNRS | UNIV-BM | LE2I | UNIV-BM-THESE | U1093 | UNIV-HESAM

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Abdennacer Ben Hmed, Toufik Bakir, Yoann Garnier, Stéphane Binczak, Anis Sakly. A Novel Strategy for Adjusting Current Pulse Amplitude of FES-Systems with PID based on PSO Algorithm Method to Control the Muscle Force:. 14th International Conference on Informatics in Control, Automation and Robotics (ICINCO), Jul 2017, Madrid, Spain. pp.664-669, ⟨10.5220/0006473306640669⟩. ⟨hal-01628064⟩

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