Multiple-vector direct model predictive control for grid-connected power converters with reduced calculation burden

Mohamed Abdelrahem, Faris Hamadto, Anath Garikapati, Ralph Kennel, Jose Rodriguez

Resultado de la investigación: Contribución a los tipos de informe/libroContribución a la conferencia

1 Cita (Scopus)

Resumen

This paper proposes a multiple-vector direct model predictive control (MV-DMPC) scheme with reduced calculation burden for grid-connected power converters. The proposed control scheme is based on the discrete space vector modulation (DSVM) technique, where the real voltage vectors (VVs) of the converter are employed together with new virtual VVs to improve the steady-state performance of the proposed controller. Furthermore, in order to reduce the calculation burden of the proposed strategy, a deadbeat function is presented to directly compute the reference voltage vector from the demanded reference current/power. Then, the optimal real or virtual voltage vector is selected based on a certain cost function to apply in the next sampling instant. The performance of the proposed method is validated via simulation results and compared with that of the conventional DMPC and the well-known voltage oriented control (VOC) with proportional-integral (PI) controllers.

Idioma originalInglés
Título de la publicación alojadaProceedings - PRECEDE 2019
Subtítulo de la publicación alojada2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781538694145
DOI
EstadoPublicada - 1 may 2019
Evento2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019 - Quanzhou, China
Duración: 31 may 20192 jun 2019

Serie de la publicación

NombreProceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics

Conferencia

Conferencia2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2019
PaísChina
CiudadQuanzhou
Período31/05/192/06/19

Áreas temáticas de ASJC Scopus

  • Ingeniería eléctrica y electrónica
  • Ingeniería mecánica
  • Control y optimización

Huella Profundice en los temas de investigación de 'Multiple-vector direct model predictive control for grid-connected power converters with reduced calculation burden'. En conjunto forman una huella única.

  • Citar esto

    Abdelrahem, M., Hamadto, F., Garikapati, A., Kennel, R., & Rodriguez, J. (2019). Multiple-vector direct model predictive control for grid-connected power converters with reduced calculation burden. En Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics [8753253] (Proceedings - PRECEDE 2019: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PRECEDE.2019.8753253