A sensorless initial rotor position sensing using neural network for Direct Torque Controlled Permanent Magnet Synchronous Motor drive

Bilgin M. Z.

8th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA), Warszawa, Polonya, 11 - 14 Nisan 2007, cilt.4432, ss.713-721 identifier identifier

  • 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.