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/Report/Conference proceedingConference contribution

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
Number of pages6
ISBN (Electronic)9781665480253
ISBN (Print)9781665480260 (PoD)
DOIs
Publication statusPublished - 9 Dec 2022
Event48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium
Duration: 17 Oct 202220 Oct 2022

Publication series

NameProceedings of the Annual Conference of the IEEE Industrial Electronics Society.
PublisherIEEE
ISSN (Print)1553-572X
ISSN (Electronic)2577-1647

Conference

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

Bibliographical note

Funding Information:
This work is supported by Ministry of Science & Technology under National Key R&D Program of China, under Grant 2021YFE0108600, Ningbo Science and Technology Bureau under S&T Innovation 2025 with grant No. of 2019B10071, Ningbo Key Technology Research and Development Programme under Grant No. 2021Z035 and by the Key International Cooperation of National Natural Science Foundation of China under Grant 51920105011.

Publisher Copyright:
© 2022 IEEE.

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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