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, Turkey, 27 - 29 May 2007, pp.206-207 identifier

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.206-207
  • Keywords: artificial neural network, total harmonic distortion, harmonic estimation, induction motors
  • Bursa Uludag University Affiliated: No


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.