IDENTIFICATION AND CONTROL OF AN ASYNCHRONOUS MACHINE USING NEURAL NETWORKS

Authors

  • A ZERGAOUI Université Mentouri Constantine
  • A BENNIA Université Mentouri Constantine

Keywords:

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

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.

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Author Biographies

A ZERGAOUI, Université Mentouri Constantine

Département d'Electronique
Faculté des Sciences de l'Ingénieur

A BENNIA, Université Mentouri Constantine

Département d'Electronique
Faculté des Sciences de l'Ingénieur

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Published

2000-06-01

How to Cite

ZERGAOUI, A., & BENNIA, A. (2000). IDENTIFICATION AND CONTROL OF AN ASYNCHRONOUS MACHINE USING NEURAL NETWORKS. Sciences & Technology. A, Exactes Sciences, (13), 53–58. Retrieved from https://revue.umc.edu.dz/a/article/view/1653

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Articles