Latest Advances of Model Predictive Control in Electrical DrivesuPart I: Basic Concepts and Advanced Strategies

Rodriguez, Jose; Garcia, Cristian; Mora, Andres; Flores-Bahamonde, Freddy; Acuna, Pablo; Novak, Mateja; Zhang, Yongchang; Tarisciotti, Luca; Davari, S. Alireza; Zhang, Zhenbin; Wang, Fengxiang; Norambuena, Margarita; Dragicevic, Tomislav; Blaabjerg, Frede; Geyer, Tobias; et. al.

Abstract

The application of model predictive control in electrical drives has been studied extensively in the past decade. This article 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 article aims to enable readers to have a more precise overview while facilitating their future research work in this exciting area.

Más información

Título según WOS: Latest Advances of Model Predictive Control in Electrical DrivesuPart I: Basic Concepts and Advanced Strategies
Título de la Revista: IEEE TRANSACTIONS ON POWER ELECTRONICS
Volumen: 37
Número: 4
Editorial: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Fecha de publicación: 2022
Página de inicio: 3927
Página final: 3942
DOI:

10.1109/TPEL.2021.3121532

Notas: ISI