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

Giampaolo Buticchi; Amin Farjudian; Juyoung Oh; Luca Tarisciotti

doi:10.1109/IECON49645.2022.9968534

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

Giampaolo Buticchi, Amin Farjudian, Juyoung Oh, Luca Tarisciotti

Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781665480253
ISBN (Print)	9781665480260 (PoD)
DOIs	https://doi.org/10.1109/IECON49645.2022.9968534
Publication status	Published - 9 Dec 2022
Event	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium Duration: 17 Oct 2022 → 20 Oct 2022

Publication series

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

Conference

Conference	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Country/Territory	Belgium
City	Brussels
Period	17/10/22 → 20/10/22

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IECON49645.2022.9968534

Cite this

Buticchi, G., Farjudian, A., Oh, J., & Tarisciotti, L. (2022). An ANN-Assisted Control for the Power Decoupling of a Multiple Active Bridge DC-DC Converter. In IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society Article 9968534 (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society.). IEEE. https://doi.org/10.1109/IECON49645.2022.9968534

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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.",

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Buticchi, G, Farjudian, A, Oh, J & Tarisciotti, L 2022, An ANN-Assisted Control for the Power Decoupling of a Multiple Active Bridge DC-DC Converter. in IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society., 9968534, Proceedings of the Annual Conference of the IEEE Industrial Electronics Society., IEEE, 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022, Brussels, Belgium, 17/10/22. https://doi.org/10.1109/IECON49645.2022.9968534

An ANN-Assisted Control for the Power Decoupling of a Multiple Active Bridge DC-DC Converter. / Buticchi, Giampaolo; Farjudian, Amin; Oh, Juyoung et al.
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2022. 9968534 (Proceedings of the Annual Conference of the IEEE Industrial Electronics Society.).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N1 - 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.

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N2 - 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.

AB - 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.

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ER -

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this