Prediction of current harmonics in induction motors with Artificial Neural Network

Y Birbir, HS Nogay, S Taskin - 2007 International Aegean …, 2007 - ieeexplore.ieee.org
Y Birbir, HS Nogay, S Taskin
2007 International Aegean Conference on Electrical Machines and …, 2007ieeexplore.ieee.org
In this paper, artificial neural network (ANN) technique has been used for the estimation of
voltage THD (total harmonic distortion), and current THD, 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 …
In this paper, artificial neural network (ANN) technique has been used for the estimation of voltage THD (total harmonic distortion), and current THD, 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 and current THD.
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