Robust Loss Minimization for Predictive Direct Torque and Flux Control of an Induction Motor with Electrical Circuit Model

Seyed Rasul Eftekhari, S. Alireza Davari, Peyman Naderi, Cristian Garcia, Jose Rodriguez

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

30 Citas (Scopus)

Resumen

The loss model of an induction motor based on the electric circuit is known as the more comfortable model to be identified compared to the magnetic model. This model is commonly used for field-oriented control rather than direct torque control (DTC). In the recent research for applying the electric loss model for flux optimization, the core loss resistance current is ignored, since it will reduce the robustness and accuracy of the model. In this article, it is analytically proved that considering that current will reduce the sensitivity significantly. Thus, a robust loss model based on a complete electric circuit is proposed for flux optimization in predictive torque and flux control. The predictive method had been chosen because of the fast dynamic response. In order to avoid computation increase, the predictive direct voltage control is used. The validity of the proposed method is studied via experimental results.

Idioma originalInglés
Número de artículo8851304
Páginas (desde-hasta)5417-5426
Número de páginas10
PublicaciónIEEE Transactions on Power Electronics
Volumen35
N.º5
DOI
EstadoPublicada - may. 2020

Áreas temáticas de ASJC Scopus

  • Ingeniería eléctrica y electrónica

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