Repositorio UFRO · Omeka S

Generalized Data-Driven Model-Free Predictive Control for Electrical Drive Systems

Primer Autor	Wang, Fengxiang
Co-autores	Wei, Yao Young, Hector Rodriguez, Jose
Título	Generalized Data-Driven Model-Free Predictive Control for Electrical Drive Systems
Editorial	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Revista	IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Lenguaje	en
Resumen	The performance of model predictive control has a strong correlation to the precision of the physical parameters of the plant, and these parameters are hard to determine since they are continuously changing during the operation process. To fully eliminate the influence of the physical parameters and enhance robustness, a model-free predictive control is proposed in this article to suit the electrical drive systems. The plant model is designed as several discrete-time transfer functions used to decouple the input and output signals and to describe their relationships, and the coefficients of these functions are online designed based on the recursive least square algorithm. An observer is designed to obtain accurately sampled current components considering the delays. The proposed method is applied to a permanent magnet synchronous motor speed control system as the stator current controller, and the simulation and experimental results show the advantages of the improved dynamics, stator current quality, and robustness compared with the conventional model-free predictive current control strategy.
Fecha Publicación	2023
Tipo de Recurso	artículo original
doi	10.1109/TIE.2022.3210563
Formato Recurso	PDF
Palabras Claves	Data-driven electrical machine modelfree predictive control
Ubicación del archivo	http://dx.doi.org/10.1109/TIE.2022.3210563
Categoría OCDE	Sistemas de automatización y control Ingeniería Instrumentos e instrumentación
Materias	Basado en datos máquina eléctrica control predictivo sin modelo
Página de inicio (Recomendado-único)	7642.0
Página final (Recomendado-único)	7652
Identificador del recurso (Mandatado-único)	artículo original
Versión del recurso (Recomendado-único)	versión publicada
Derechos de acceso	restringido
Access Rights	restringido
Id de Web of Science	WOS:001002590500010
ISSN	0278-0046
Categoría WOS	Sistemas de automatización y control Ingeniería Instrumentos e instrumentación
Referencia del Financiador (Mandatado si es aplicable-repetible)	NSFC 52277070 FIPC 2020T3003 MINEDUC FRO19101