Estimation of total harmonic distortion in short chorded induction motors using artificial neural network

  • Authors:

  • Yasar Birbir;H. Selcuk Nogay;Vedat Topuz

  • Affiliations:

  • Marmara University, Technical Education Faculty, Department of Electricity Education, Istanbul, Turkey;Marmara University, Technical Education Faculty, Department of Electricity Education, Istanbul, Turkey;Marmara University, Technical Education Faculty, Department of Electricity Education, Istanbul, Turkey

  • Venue:
  • AEE'07 Proceedings of the 6th conference on Applications of electrical engineering
  • Year:
  • 2007

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Abstract

In this paper, Artificial Neural Network (ANN) technique has been used for the estimation of voltage THD (Total Harmonic Distortion), current THD and power factor, mainly from input and output measurements of five different chorded induction motors fed from a pulse width modulation inverter voltage supply. A sinusoidal pulse-width modulation (SPWM) inverter feeding five different chorded three-phase induction motors were tested up to first thirty harmonic voltage component at different loads. The results show that the artificial neural network model produces reliable estimates of voltage THD, current THD and power factor.