Event-Triggered Model Predictive Control for Power Converters

Benfei Wang, Jingjing Huang, Changyun Wen, Jose Rodriguez, Cristian Garcia, Hoay Beng Gooi, Zheng Zeng

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

3 Citas (Scopus)

Resumen

In this letter, an event-triggered model predictive control (ET-MPC) method for power converters is presented. In the proposed method, the model predictive control (MPC) scheme is triggered only when the state of the converter exceeds a preset threshold; otherwise, the MPC scheme is suspended and the control signal is held as constant. Therefore, compared with the conventional MPC with finite control set (FCS-MPC), the ET-MPC method has the advantages of less computational burden and less switching actions, which contribute to lower switching losses, while ensuring satisfactory regulation performance. A buck converter prototype is adopted to validate the performance of ET-MPC. The results from the comparison with FCS-MPC demonstrate the effectiveness of the proposed ET-MPC method.

Idioma originalInglés
Número de artículo8948314
Páginas (desde-hasta)715-720
Número de páginas6
PublicaciónIEEE Transactions on Industrial Electronics
Volumen68
N.º1
DOI
EstadoPublicada - ene 2021

Áreas temáticas de ASJC Scopus

  • Ingeniería de control y sistemas
  • Ingeniería eléctrica y electrónica

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