Application of Artificial Neural Network for Harmonic Estimation in Different Produced Induction Motors
Int. J. of Circuits, Systems and Signal Processing, cilt.1, sa.4, ss.334-339, 2007 (Hakemli Dergi)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 1 Sayı: 4
- Basım Tarihi: 2007
- Dergi Adı: Int. J. of Circuits, Systems and Signal Processing
- Derginin Tarandığı İndeksler: Other Indexes
- Sayfa Sayıları: ss.334-339
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Bursa Uludağ Üniversitesi Adresli: Hayır
Özet
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 phases, 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 trained with experimental data sets, produces reliable estimates of voltage THD for squirrel cage three phase induction motors that produced different firm.