Designation of harmonic estimation ANN model using experimental data obtained from different produced induction motors

Nogay H. S., BİRBİR Y.

9th WSEAS International Conference on Neural Networks (NN 08), Sofija, Bulgaria, 2 - 04 May 2008, pp.198-201 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Sofija
  • Country: Bulgaria
  • Page Numbers: pp.198-201
  • Keywords: Artificial Neural Network, Total Harmonic Distortion, harmonic estimation, induction motors
  • Bursa Uludag University Affiliated: No

Abstract

Artificial Neural Network (ANN) technique has been used for the prediction of voltage THD (Total Harmonic Distortion), mainly from input and output measurements of three phase, squirrel cage induction motors fed from a pulse width modulation inverter voltage supply. The induction motors have different construction, different power and produced by different firm. A sinusoidal pulse-width modulation (SPWM) inverter feeding three-phase induction motors were tested up to first thirty harmonic voltage components at different loads. The results show that the artificial neural network model produces reliable estimates of voltage THD.