Indirect predictive control techniques for a matrix converter operating at fixed switching frequency

M. Rivera, S. Toledo, C. Baier, L. Tarisciotti, P. Wheeler, S. Verne

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

14 Citas (Scopus)

Resumen

The following paper presents a novel indirect model predictive control strategy for a direct matrix converter (DMC). The direct matrix converter has a large number of available switching states and therefore the implementation of predictive control techniques require high computational resources. In addition, the simultaneous selection of weighting factors for the control of input and output variables of the converter complicates the system tuning. In this paper, two indirect model predictive control strategies are proposed in order to reduce the computational cost and by doing so avoid the use of weighting factors. The proposal is enhanced with a fixed switching frequency strategy in order to improve the performance of the full system. Results confirm the feasibility of the proposal by demonstrating that it is an alternative to classical predictive control strategies for the direct matrix converter.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas13-18
Número de páginas6
ISBN (versión digital)9781538605073
DOI
EstadoPublicada - 18 oct 2017
Evento2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017 - Pilsen, República Checa
Duración: 4 sep 20176 sep 2017

Serie de la publicación

NombreProceedings - 2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017

Conferencia

Conferencia2017 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2017
País/TerritorioRepública Checa
CiudadPilsen
Período4/09/176/09/17

Áreas temáticas de ASJC Scopus

  • Control y optimización
  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica
  • Modelización y simulación

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