Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies

Jose Rodriguez, Cristian Garcia, Andres Mora, Freddy Flores-Bahamonde, Pablo Acuna, Mateja Novak, Yongchang Zhang, Luca Tarisciotti, Alireza Davari, Zhenbin Zhang, Fengxiang Wang, Margarita Norambuena, Tomislav Dragicevic, Frede Blaabjerg, Tobias Geyer, Ralph Kennel, Davood Arab Khaburi, Mohamed Abdelrahem, Zhen Zhang, Nenad MijatovicRicardo P. Aguilera

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

13 Citas (Scopus)

Resumen

The application of Model Predictive Control (MPC) in electrical drives has been studied extensively in the last decade. This paper presents what the authors consider the most relevant contributions published in the last years, mainly focusing on three relevant issues: weighting factor calculation when multiple objectives are utilized in the cost function, current/torque harmonic distortion optimization when the power converter switching frequency is reduced, and robustness improvement under parameters uncertainties. Therefore, this paper aims to enable readers to have a more precise overview while facilitating their future research work in this exciting area.

Idioma originalInglés
PublicaciónIEEE Transactions on Power Electronics
DOI
EstadoPublicada - abr. 2022

Áreas temáticas de ASJC Scopus

  • Ingeniería eléctrica y electrónica

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