Review of model predictive control strategies for matrix converters

Mahyar Khosravi, Masoume Amirbande, Davood A. Khaburi, Marco Rivera, Jose Riveros, Jose Rodriguez, Abolfazl Vahedi, Patrick Wheeler

Resultado de la investigación: Review article

Resumen

Matrix converters are a well-known class of direct AC-AC power converter topologies that can be used in applications, where compact volume and low weight are necessary. For good performance, special attention should be paid to the control scheme used for these converters. The model predictive control strategy is a promising, straightforward and flexible choice for controlling various different matrix converter topologies. This work provides a comprehensive study and detailed classification of several predictive control methods and techniques, discussing special capabilities they each add to the operation and control scheme for different matrix converter topologies. This study also considers the issues regarding the implementation of model predictive control strategies for matrix converters. This survey and comparison are intended to be a useful guide for solving the related drawbacks of each topology and to enable the application of this control scheme for matrix converters in practical applications.

Idioma originalEnglish
Páginas (desde-hasta)3021-3032
Número de páginas12
PublicaciónIET Power Electronics
Volumen12
N.º12
DOI
EstadoPublished - 16 oct 2019

Huella dactilar

Model predictive control
Topology
Matrix converters

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Citar esto

Khosravi, M., Amirbande, M., Khaburi, D. A., Rivera, M., Riveros, J., Rodriguez, J., ... Wheeler, P. (2019). Review of model predictive control strategies for matrix converters. IET Power Electronics, 12(12), 3021-3032. https://doi.org/10.1049/iet-pel.2019.0212
Khosravi, Mahyar ; Amirbande, Masoume ; Khaburi, Davood A. ; Rivera, Marco ; Riveros, Jose ; Rodriguez, Jose ; Vahedi, Abolfazl ; Wheeler, Patrick. / Review of model predictive control strategies for matrix converters. En: IET Power Electronics. 2019 ; Vol. 12, N.º 12. pp. 3021-3032.
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Khosravi, M, Amirbande, M, Khaburi, DA, Rivera, M, Riveros, J, Rodriguez, J, Vahedi, A & Wheeler, P 2019, 'Review of model predictive control strategies for matrix converters', IET Power Electronics, vol. 12, n.º 12, pp. 3021-3032. https://doi.org/10.1049/iet-pel.2019.0212

Review of model predictive control strategies for matrix converters. / Khosravi, Mahyar; Amirbande, Masoume; Khaburi, Davood A.; Rivera, Marco; Riveros, Jose; Rodriguez, Jose; Vahedi, Abolfazl; Wheeler, Patrick.

En: IET Power Electronics, Vol. 12, N.º 12, 16.10.2019, p. 3021-3032.

Resultado de la investigación: Review article

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AU - Khosravi, Mahyar

AU - Amirbande, Masoume

AU - Khaburi, Davood A.

AU - Rivera, Marco

AU - Riveros, Jose

AU - Rodriguez, Jose

AU - Vahedi, Abolfazl

AU - Wheeler, Patrick

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AB - Matrix converters are a well-known class of direct AC-AC power converter topologies that can be used in applications, where compact volume and low weight are necessary. For good performance, special attention should be paid to the control scheme used for these converters. The model predictive control strategy is a promising, straightforward and flexible choice for controlling various different matrix converter topologies. This work provides a comprehensive study and detailed classification of several predictive control methods and techniques, discussing special capabilities they each add to the operation and control scheme for different matrix converter topologies. This study also considers the issues regarding the implementation of model predictive control strategies for matrix converters. This survey and comparison are intended to be a useful guide for solving the related drawbacks of each topology and to enable the application of this control scheme for matrix converters in practical applications.

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Khosravi M, Amirbande M, Khaburi DA, Rivera M, Riveros J, Rodriguez J y otros. Review of model predictive control strategies for matrix converters. IET Power Electronics. 2019 oct 16;12(12):3021-3032. https://doi.org/10.1049/iet-pel.2019.0212