Estimation of low order odd current harmonics in short chorded induction motors using artificial neural network

Authors:
Yasar Birbir;H. Selcuk Nogay;Yelda Ozel
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:
NN'08 Proceedings of the 9th WSEAS International Conference on Neural Networks
Year:
2008

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Abstract

In this paper, Artificial Neural Network (ANN) technique has been used for the estimation of low order odd current harmonics mainly from input and output measurements of five different chorded induction motors. 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 low order odd current harmonics.