On the control of a muscular force model including muscular fatigue

Abstract

Electromyostimulation has been used for several decades by athletes or physiotherapists in order to create a muscular reinforcement. However, the efficiency of electromyostimulation is limited by muscular fatigue and by induced pain. Currently, the systems of electromyostimulation do not adapt the stimulation parameters automatically by taking into account physiological parameters such as muscular fatigue. To adapt the stimulation parameters to muscular responses and in order to optimize the rehabilitation sessions, a control of force using an indicator of muscular fatigue could be used. In this paper, we propose two ways to control the force by using a physiological model which includes the effects of muscular fatigue.

Predictive Control Based on Nonlinear Observer for Muscular Force and Fatigue Model

“…Only few works used Ding model to design an optimized train of pulses to control the force level. [8], [9], [10] used a Model-Free Control (MFC), a predictive strategy (experimental case) and a nonlinear technique (input output linearization) to control the force level, respectively.…”

“…Our contribution is to make a preliminary analysis of the control problem in the frame of development of recent techniques in nonlinear control based on the design of a highgain nonlinear observer, adapting the technique of [11] to our study to perform an inline fatigue parameters estimation. It is used to design a predictive control and improving the results of [10]. A sequence of preliminary numeric simulations is presented to validate the pertinence of the techniques.…”