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

Novak, Mateja; Davari, S. Alireza; Zhang, Zhenbin; Wang, Fengxiang; Kennel, Ralph; Khaburi, Davood Arab; Abdelrahem, Mohamed; Zhang, Zhen; Mijatovic, Nenad; Aguilera, Ricardo P.

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.

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Título según WOS: Latest Advances of Model Predictive Control in Electrical DrivesuPart I: Basic Concepts and Advanced Strategies
Título según SCOPUS: Latest Advances of Model Predictive Control in Electrical Drives - Part I: Basic Concepts and Advanced Strategies
Título de la Revista: IEEE Transactions on Power Electronics
Volumen: 37
Número: 4
Editorial: Institute of Electrical and Electronics Engineers Inc.
Fecha de publicación: 2022
Página final: 3942
Idioma: English
DOI:

10.1109/TPEL.2021.3121532

Notas: ISI, SCOPUS