Finite set model predictive control of a flying capacitor converter with a geometric computational optimization

Cristian Garcia, Margarita Norambuena, Jose Rodriguez, Mahyar Khosravi, Davood Arab Khaburi

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

2 Citas (Scopus)

Resumen

The multilevel converter has many advantages, and for that reason, they are widely used in medium and high power applications. On the other hand, finite set model predictive control (FS-MPC) is presented as a suitable control strategy for multilevel converters because it can manage many control goals with a simple cost function. However, FS-MPC needs to evaluate all of the voltage vector's actuation in the power converter, and in multilevel topologies this can result in a high computational effort. This paper proposes a geometrical method based on the predictive model to reduce the number of vectors that must be evaluated when using the FS-MPC strategy. The method is validated using a four-level three-cells flying capacitor converter, that has 512 voltage vectors. In its poorest performance, the proposed method reduces the computational effort to 35% of that used to evaluate the complete case (512 voltage vectors). Simulation results are presented to validate the proposed control strategy.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1-5
Número de páginas5
Volumen2018-January
ISBN (versión digital)9781509064250
DOI
EstadoPublicada - 6 abr 2018
Evento2017 IEEE Southern Power Electronics Conference, SPEC 2017 - Puerto Varas, Chile
Duración: 4 dic 20177 dic 2017

Serie de la publicación

NombreProceedings - 2017 IEEE Southern Power Electronics Conference, SPEC 2017
Volumen2018-January

Conferencia

Conferencia2017 IEEE Southern Power Electronics Conference, SPEC 2017
País/TerritorioChile
CiudadPuerto Varas
Período4/12/177/12/17

Áreas temáticas de ASJC Scopus

  • Ingeniería eléctrica y electrónica
  • Ingeniería energética y tecnologías de la energía

Huella

Profundice en los temas de investigación de 'Finite set model predictive control of a flying capacitor converter with a geometric computational optimization'. En conjunto forman una huella única.

Citar esto