Control and Estimation for the Design of a Smart Electrostimulator using Ding et al. Model - Imagerie et Vision Artificielle
Conference Papers Year : 2024

Control and Estimation for the Design of a Smart Electrostimulator using Ding et al. Model

Toufik Bakir
Ilias Boualam
  • Function : Author
  • PersonId : 1388470
Mokrane Abdiche
  • Function : Author
  • PersonId : 1388471

Abstract

Based on the A. V Hill’s muscle model (Medicine Nobel prize 1922), mathematical models validated by experiments due to Ding et al. in the 2000’s allow to describe the muscular force isometrical contraction due to electrostimulation, taking into account the fatigue. They serve as a model to control and to predict the effect of trains of electrical stimulations, with rest periods aiming to force rehabilitation or reinforcement. In this article we briefly present the main issues of the problem. Two typical training sessions are described related to increase the force or the endurance. Each program is translated into an optimization problem which is analyzed in the sample-data control frame. The parameters of the models split into parameters independent of each individual vs. parameters related mainly to the fatigue, which have to be online estimated. Geometric estimation theory leads to describe a software sensor to make explicit computations. NMPC algorithm vs MPC algorithm can be used to regulate the force.
Fichier principal
Vignette du fichier
PAPIER_GIJON.pdf (582 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04598660 , version 1 (03-06-2024)
hal-04598660 , version 2 (29-06-2024)

Licence

Identifiers

  • HAL Id : hal-04598660 , version 2

Cite

Toufik Bakir, Bernard Bonnard, Ilias Boualam, Mokrane Abdiche. Control and Estimation for the Design of a Smart Electrostimulator using Ding et al. Model. FGS 2024 - French-German-Spanish Conference on Optimization, Jun 2024, Gijon, Spain. ⟨hal-04598660v2⟩
236 View
71 Download

Share

More