Identification of Induction Machines using Artificial Neural Networks

  1. Martinez, Luis Zorzano. 1
  2. Martinez, Antonio Zorzano. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Libro:
Proceedings of the 1997 IEEE International Symposium on Industrial Electronics, ISIE

Editorial: IEEE

ISBN: 0-7803-3936-3

Año de publicación: 1997

Volumen: 3

Páginas: 1259-1264

Tipo: Capítulo de Libro

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DOI: 10.1109/ISIE.1997.648924 SCOPUS: 2-s2.0-0031380709 WoS: WOS:000072310300292 GOOGLE SCHOLAR

Resumen

This paper shows an analysis of the use of Artificial Neural Networks (ANN's) for induction machines identification, in order to use afterwards for the control of induction machines. A multilayer perceptron neural network with a hidden layer is trained with the Back-Propagation Algorithm to identify the induction motor (IM) for getting IM neural model. Neural network training process is analyzed with different scenarios (different number of hidden layer neurons, different learning rates and different sampling rates) in order to get neural networks parameters for practical implementations. Finally, the results of the trained neural networks for different Load Torque are showed.