A sensorless initial rotor position sensing using neural network for Direct Torque Controlled Permanent Magnet Synchronous Motor drive
8th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA), Warszawa, Polonya, 11 - 14 Nisan 2007, cilt.4432, ss.713-721, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 4432
- Basıldığı Şehir: Warszawa
- Basıldığı Ülke: Polonya
- Sayfa Sayıları: ss.713-721
- Kocaeli Üniversitesi Adresli: Evet
Özet
This paper presents a method to determine the initial rotor position for Direct Torque Controlled (DTC) Permanent Magnet Synchronous Motor F (PMSM) using Artificial Neural Network (ANN). The inductance variation is a function of the rotor position and stator current for PMSM. A high frequency and low magnitude voltage is applied to the stator windings and examined the effects the stator currents by using ANN for initial rotor position detection.