An Optimal Reduced-Control-Set Model Predictive Flux Control for 3L-NPC Fed Induction Motor Drive

Ilham Osman, Dan Xiao, Muhammed Fazlur Rahman, Margarita Norambuena, Jose Rodriguez

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

16 Citas (Scopus)

Resumen

This paper proposes an efficient and optimal reduced control set model predictive flux control (RCS-MPFC) for a three-level neutral-point-clamped voltage source inverter (3L-NPC VSI) fed induction motor. The proposed algorithm reduces the computational time in the prediction stage without causing any suboptimality. The optimal voltage vector selected by the proposed method produces the same cost function value as that of the conventional FCS-MPFC which requires enumerating all 27 voltage vectors. Therefore, the proposed algorithm achieves the same performance as the conventional method in the entire range of operation of IM drives while the computational effort is significantly reduced. Experimental results verify the effectiveness of the proposed algorithm and its superior performance compared to the existing RCS-MPFC scheme.

Idioma originalInglés
Páginas (desde-hasta)2967-2976
Número de páginas10
PublicaciónIEEE Transactions on Energy Conversion
Volumen36
N.º4
DOI
EstadoEn prensa - 2021

Áreas temáticas de ASJC Scopus

  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica

Huella

Profundice en los temas de investigación de 'An Optimal Reduced-Control-Set Model Predictive Flux Control for 3L-NPC Fed Induction Motor Drive'. En conjunto forman una huella única.

Citar esto