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 | |
| 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
|
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