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

Giampaolo Buticchi, Amin Farjudian, Juyoung Oh, Luca Tarisciotti

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9781665480253
DOIs
Publication statusPublished - 2022
Event48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium
Duration: 17 Oct 202220 Oct 2022

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2022-October

Conference

Conference48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Country/TerritoryBelgium
CityBrussels
Period17/10/2220/10/22

Keywords

  • dc-dc power converters
  • more electric aircraft
  • multiple active bridge
  • neural networks
  • voltage control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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