Weighting Factors Design of Model Predictive Control for Three-Level Inverter-Fed PMSM Drives Using Multi-Objective Particle Swarm Optimization and Artificial Neural Network

This article presents a novel strategy for designing weighting factors in the model predictive control (MPC) of a three-level inverter-fed permanent magnet synchronous motor (PMSM) by combining multi-objective particle swarm optimization (MOPSO) and artificial neural network (ANN). A cost function c...

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Autors principals:	Yazhuo Tian, Yongjun Zhang, Chenwei Liu, Xiong Xiao
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	PMSM MOPSO MPC weighting factors design
Accés en línia:	https://ieeexplore.ieee.org/document/10583912/
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