IDENTIFICATION AND CONTROL OF AN ASYNCHRONOUS MACHINE USING NEURAL NETWORKS

المؤلفون

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

الكلمات المفتاحية:

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

الملخص

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.

التنزيلات

بيانات التنزيل غير متوفرة بعد.

السير الشخصية للمؤلفين

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

المراجع

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التنزيلات

منشور

2000-06-01

كيفية الاقتباس

ZERGAOUI, A., & BENNIA, A. (2000). IDENTIFICATION AND CONTROL OF AN ASYNCHRONOUS MACHINE USING NEURAL NETWORKS. مجلة علوم و تكنولوجيا أ، علوم دقيقة, (13), 53–58. استرجع في من https://revue.umc.edu.dz/a/article/view/1653

إصدار

القسم

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