Model-Free Neuromuscular Electrical Stimulation by Stochastic Extremum Seeking
| Autor: | Paulo Paz, Alexandre Visintainer Pino, Ana Paula Fontana, Tiago Roux Oliveira |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science Settling time Multivariable calculus 020208 electrical & electronic engineering PID controller 02 engineering and technology Function (mathematics) Reduction (complexity) 020901 industrial engineering & automation Control and Systems Engineering Control theory Position (vector) 0202 electrical engineering electronic engineering information engineering Overshoot (signal) Electrical and Electronic Engineering |
| Zdroj: | IEEE Transactions on Control Systems Technology. 28:238-253 |
| ISSN: | 2374-0159 1063-6536 |
| DOI: | 10.1109/tcst.2019.2892924 |
| Popis: | Stochastic extremum seeking (ES) approach is employed to adapt the gains of a proportional-integral-derivative (PID) control law for functional neuromuscular electrical stimulation. The proposed scheme is applied to control the position of the arm of healthy volunteers and stroke patients so that coordinated movements of flexion/extension for their elbow can be performed. This approach eliminates the initial tuning tests with patients since the controller parameters are automatically computed in real time. The PID parameters are updated by means of a discrete version of multivariable stochastic ES in order to minimize a cost function which brings the desired performance requirements. Experimental results with healthy volunteers as well as stroke patients show the usual specifications commonly considered in physiotherapy for functional rehabilitation are eventually satisfied in terms of steady-state error, settling time, and percentage overshoot. Quantitative results show a reduction of 62.30% in terms of the root-mean-square error-from 9.02° to 3.40°-when comparing the tracking curves of the last cycle to the first cycle in the experiments with all subjects. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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