An ANN-Assisted Control for the Power Decoupling of a Multiple Active Bridge DC-DC Converter

Giampaolo Buticchi, Amin Farjudian, Juyoung Oh, Luca Tarisciotti

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Transportation Electrification and Micro-grid development have raised the requirements for the DC-DC converter that performs the bus interface, the renewable energy and storage integration. The Multiple Active Bridge converter allows for the independent power transfer between its ports while keeping the electrical isolation and offering soft-switching behavior when operated with a phase-shift modulation; however, its performance is affected by the high level of coupling between the ports. In fact, the input voltage, or the phase shift of one port affects the power flow in the whole converter. This paper proposes an Artificial Neural Network (ANN) based decoupling that allows for an improved individual power regulation between the ports, considering the non-linear behavior of the system and the effects of the voltage variations.

Idioma originalInglés
Título de la publicación alojadaIECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
EditorialIEEE Computer Society
ISBN (versión digital)9781665480253
DOI
EstadoPublicada - 2022
Evento48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Bélgica
Duración: 17 oct. 202220 oct. 2022

Serie de la publicación

NombreIECON Proceedings (Industrial Electronics Conference)
Volumen2022-October

Conferencia

Conferencia48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
País/TerritorioBélgica
CiudadBrussels
Período17/10/2220/10/22

Áreas temáticas de ASJC Scopus

  • Ingeniería de control y sistemas
  • Ingeniería eléctrica y electrónica

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