Finite Control Set Model Predictive Control reduced computational cost applied to a Flying Capacitor converter

Margarita Norambuena, Cristian Garcia, Jose Rodriguez, Pablo Lezana

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

11 Citas (Scopus)

Resumen

Finite Control Set Model Predictive Control (FCS-MPC) allows to deal with non-linearities of the system and obtain a fast dynamic response. Therefore FCS-MPC is a good alternative to govern complex power converters or when fast transient operation is required. A problem about the implementation of FCS-MPC is the computational cost, which is bigger for multilevel converters. This paper proposed a new method to implement FCS-MPC reducing the necessary iterations in a 3-phase 4-level Flying Capacitor converter. Simulation results show that the proposed FCS-MPC strategy produces an effective control of the load current, while keeping balanced capacitor voltages with lower necessary iterations.

Idioma originalInglés
Título de la publicación alojadaProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas4903-4907
Número de páginas5
Volumen2017-January
ISBN (versión digital)9781538611272
DOI
EstadoPublicada - 15 dic 2017
Evento43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duración: 29 oct 20171 nov 2017

Serie de la publicación

NombreProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volumen2017-January

Conferencia

Conferencia43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
País/TerritorioChina
CiudadBeijing
Período29/10/171/11/17

Áreas temáticas de ASJC Scopus

  • Ingeniería industrial y de fabricación
  • Control y optimización
  • Ingeniería energética y tecnologías de la energía
  • Ingeniería eléctrica y electrónica

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