Sciences & Technologie
Volume 0, Numéro 13, Pages 53-58
2000-06-30

Identification And Control Of An Asynchronous Machine Using Neural Networks

Authors : Zergaoui A . Bennia A .

Abstract

In this work, we present the application of artificial neural networks to the identification and control of the asynchronous motor, which is a complex nonlinear system with variable internal dynamics. We show that neural networks can be applied to control the stator currents of the induction motor. The results of the different simulations are presented to evaluate the performance of the neural controller proposed

Keywords

Neural networks, nonlinear control systems, system identification, neuromorphic control, asynchronous machine.

Predictive Modeling Of Ozone Dosing In Drinking Water Treatment Plant Using Deep Learning Comparative Study Between Deep Neural Networks And Convolutional Neural Networks

Hellal Aouatef .  Djeddou Messaoud .  Loukam Imed .  A. Hameed Ibrahim .  Al Dallal Jehad .  Shawaqfah Moayyad . 
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Implementing Non-linear Control For The Three-phase Asynchronous Machine Via Status Feedback

Hamiani Hichem .  Tadjeddine Ali Abderrazak .  Sekkal Mansouria .  Arbaoui Iliace .  Bendjilali Ridha Ilyas .  Bendelhoum Mohammed Soufiane . 
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