Large signal stability analysis of DAB converter using Moving Discretized Control Set- Model Predictive Control

Luca Tarisciotti, Linglin Chen, Shao Shuai, Tomislav Dragicevic

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

Resumen

Dual Active Bridge is often considered in many DC/DC converter applications where high efficiency, input/output voltage ratio and power level are required. Recently a predictive control technique, named Moving Discretized Control Set - Model Predictive Control has been introduced, in order to achieve faster dynamics and stable operation throughout the power and terminal voltage ranges, considering global control parameters. However, even if this technique provides flexible multi-objective control, its large signal stability remains in questions. In this paper, the large signal stability of a Dual Active Bridge converter operating in single phase shift with Moving Discretized Control Set - Model Predictive Control is analyzed, considering a phase-portrait based approach. The obtained results show insights into factors that stabilize or destabilize the converter operation. The proposed methodology is validated through both simulation and experimental testing.

Idioma originalInglés
Título de la publicación alojadaECCE 2020 - IEEE Energy Conversion Congress and Exposition
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas5922-5929
Número de páginas8
ISBN (versión digital)9781728158266
DOI
EstadoPublicada - 11 oct 2020
Evento12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, Estados Unidos
Duración: 11 oct 202015 oct 2020

Serie de la publicación

NombreECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conferencia

Conferencia12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
País/TerritorioEstados Unidos
CiudadVirtual, Detroit
Período11/10/2015/10/20

Áreas temáticas de ASJC Scopus

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

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