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

Research Authors
Jose Rodriguez, C. Garcia, A. Mora, F. Flores-Bahamonde, P. Acuna, M. Novak, Y. Zhang, L. Tarisciotti, S. Alireza Davari, Z. Zhang, F. Wang, M. Norambuena, T. Dragicevic, F. Blaabjerg, T. Geyer, R. Kennel, Mohamed Abdelrahem, N. Mijatovic, R. Aguilera
Research Department
Research Date
Research Year
2021
Research Journal
IEEE Transactions on Power Electronics
Research Publisher
IEEE
Research Vol
37
Research Rank
Q1
Research_Pages
3927 - 3942
Research Website
https://ieeexplore.ieee.org/document/9582764
Research 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.

Research Rank
International Journal