Indirect model predictive current control techniaues for a direct matrix converter

M. Rivera, U. Nasir, L. Tarisciotti, P. Wheeler

Resultado de la investigación: Conference contribution

Resumen

The direct matrix converter has twenty-seven available switching states which implies that the implementation of predictive control techniques in this converter requires high computational cost while an adequate selection of weighting factors in order to control both input and output sides of the converter. In this paper, two indirect model predictive current control strategies are proposed in order to simplify the computational cost while avoiding the use of weighting factors. Both methods are based on the fictitious dc-link concept, which has been used in the past for the classical modulation and control techniques of the direct matrix converter. Simulated results confirm the feasibility of the proposed techniques demonstrating that they are an alternative to classical predictive control strategies for the direct matrix converter.

Idioma originalEnglish
Título de la publicación alojada2017 IEEE URUCON, URUCON 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-4
Número de páginas4
ISBN (versión digital)9781538633977
DOI
EstadoPublished - 8 dic 2017
Evento2017 IEEE URUCON, URUCON 2017 - Montevideo, Uruguay
Duración: 23 oct 201725 oct 2017

Serie de la publicación

Nombre2017 IEEE URUCON, URUCON 2017
Volumen2017-December

Conference

Conference2017 IEEE URUCON, URUCON 2017
PaísUruguay
CiudadMontevideo
Período23/10/1725/10/17

Huella dactilar

Electric current control
Costs
Modulation
Matrix converters

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Citar esto

Rivera, M., Nasir, U., Tarisciotti, L., & Wheeler, P. (2017). Indirect model predictive current control techniaues for a direct matrix converter. En 2017 IEEE URUCON, URUCON 2017 (pp. 1-4). (2017 IEEE URUCON, URUCON 2017; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/URUCON.2017.8171896
Rivera, M. ; Nasir, U. ; Tarisciotti, L. ; Wheeler, P. / Indirect model predictive current control techniaues for a direct matrix converter. 2017 IEEE URUCON, URUCON 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-4 (2017 IEEE URUCON, URUCON 2017).
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Rivera, M, Nasir, U, Tarisciotti, L & Wheeler, P 2017, Indirect model predictive current control techniaues for a direct matrix converter. En 2017 IEEE URUCON, URUCON 2017. 2017 IEEE URUCON, URUCON 2017, vol. 2017-December, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 2017 IEEE URUCON, URUCON 2017, Montevideo, Uruguay, 23/10/17. https://doi.org/10.1109/URUCON.2017.8171896

Indirect model predictive current control techniaues for a direct matrix converter. / Rivera, M.; Nasir, U.; Tarisciotti, L.; Wheeler, P.

2017 IEEE URUCON, URUCON 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-4 (2017 IEEE URUCON, URUCON 2017; Vol. 2017-December).

Resultado de la investigación: Conference contribution

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Rivera M, Nasir U, Tarisciotti L, Wheeler P. Indirect model predictive current control techniaues for a direct matrix converter. En 2017 IEEE URUCON, URUCON 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-4. (2017 IEEE URUCON, URUCON 2017). https://doi.org/10.1109/URUCON.2017.8171896