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


BİRBİR Y. , Nogay H. S. , TOPUZ V.

6th WSEAS International Conference on Applications of Electrical Engineering, İstanbul, Türkiye, 27 - 29 Mayıs 2007, ss.206-207 identifier

  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.206-207

Özet

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.