Latest Advances of Model Predictive Control in Electrical Drives—Part I: Basic Concepts and Advanced Strategies
José Rodríguez, Cristian García, Andrés Mora, Freddy Flores‐Bahamonde, Pablo Acuna, Mateja Novak, Yongchang Zhang, Luca Tarisciotti, S. Alireza Davari, Zhenbin Zhang, Fengxiang Wang, Margarita Norambuena, Tomislav Dragičević, Frede Blaabjerg, Tobias Geyer, Ralph Kennel, Davood Arab Khaburi, Mohamed Abdelrahem, Zhen Zhang, Nenad Mijatović, Ricardo P. Aguilera
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.