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

Authors:
H. Selcuk Nogay;Yasar Birbir
Affiliations:
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

Citing 2
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Neural network design

Neural network design
Time Series Analysis, Forecasting and Control

Time Series Analysis, Forecasting and Control

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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.