Low cost implementation of artificial neural network based space vector modulation

Erfidan T., Butun E.

ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS, ss.204-209, 2005 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2005
  • Dergi Adı: ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Sayfa Sayıları: ss.204-209
  • Kocaeli Üniversitesi Adresli: Evet

Özet

This paper presents a neural network based implementation of space vector modulation (SVM) of a voltage-fed inverter that only includes the under-modulation region. SVM has recently grown as a very popular pulse width modulation (PWM) method for voltage-fed converter ac drives because of its superior harmonic quality and extended linear range of operation. However, a difficulty of SVM is that it requires complex on-line computation that usually limits its operation up to several kHz of switching frequency. Switching frequency can be extended by using high-speed digital signal processing (DSP) card and simplifying computations by using look-up tables. In our work a low cost microcontroller was used instead of DSP card. The performances of the drive with artificial neural network (ANN) based sector selected SVM are faster than conventional SVM. The performances of the drive with ANN based SVM are excellent.