Sensorless Vector Control of AC Servo System with Artificial Neural Network Observer and Fuzzy Speed Controller

• Autorzy: Gu Y. , Shi Y. , Wang J.

Warianty tytułu

PL

Bezczujnikowe sterowanie maszyną synchroniczną z wykorzystaniem sieci neuronowych i logiki rozmytej

• Języki publikacji: EN

Abstrakty

EN

The intelligent sensorless control for the permanent magnet synchronous motor (PMSM) based AC servo system is introduced in this paper. The determination of rotor position and thereby speed are realized by estimating back electromotive force (EMF) using two artificial neural network (ANN) observers. In addition, the Fuzzy-sliding model control (FSMC) was employed to track the servo speed at the speed loop. The control experiments using the dSPACE simulation platform has validated the efficiency of the newly proposed control method.

PL

Przedstawiono metodę inteligentnego bezczujnikowego sterowania maszyną synchroniczną z magnesami trwałymi. Użyto obserwatora bazującego na sieciach neuronowych. Dodatkowo wykorzystano kontroler bazujący na logice rozmytej do śledzenia prędkości.

Słowa kluczowe

EN

AC servo system; sensorless; intelligent observer; fuzzy sliding model control

PL

serwomechanizm AC; sterowanie bezczujnikowe; logika rozmyta; sterowanie ślizgowe

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 1b
• Strony: 150--153
• Opis fizyczny: Bibliogr. 10 poz., rys., wykr.

Twórcy

autor

Gu Y.

autor

Shi Y.

autor

Wang J.

• Department of Computer Science, Henan Institute of Science and Technology, 453003 Xinxiang, China,,

Bibliografia

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