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

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

8 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 language	English
Title of host publication	IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665480253
DOIs	https://doi.org/10.1109/IECON49645.2022.9968534
Publication status	Published - 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	IECON Proceedings (Industrial Electronics Conference)
Volume	2022-October
ISSN (Print)	2162-4704
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

UN SDGs

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

SDG 7 Affordable and Clean Energy

Free 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

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 (IECON Proceedings (Industrial Electronics Conference); Vol. 2022-October). IEEE Computer Society. https://doi.org/10.1109/IECON49645.2022.9968534

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

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.",

keywords = "dc-dc power converters, more electric aircraft, multiple active bridge, neural networks, voltage control",

author = "Giampaolo Buticchi and Amin Farjudian and Juyoung Oh and Luca Tarisciotti",

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year = "2022",

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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. IECON Proceedings (Industrial Electronics Conference), vol. 2022-October, IEEE Computer Society, 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 Computer Society, 2022. (IECON Proceedings (Industrial Electronics Conference); Vol. 2022-October).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An ANN-Assisted Control for the Power Decoupling of a Multiple Active Bridge DC-DC Converter

AU - Buticchi, Giampaolo

AU - Farjudian, Amin

AU - Oh, Juyoung

AU - Tarisciotti, Luca

PY - 2022

Y1 - 2022

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.

KW - dc-dc power converters

KW - more electric aircraft

KW - multiple active bridge

KW - neural networks

KW - voltage control

UR - https://www.scopus.com/pages/publications/85143895432

U2 - 10.1109/IECON49645.2022.9968534

DO - 10.1109/IECON49645.2022.9968534

M3 - Conference contribution

AN - SCOPUS:85143895432

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE Computer Society

T2 - 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

Y2 - 17 October 2022 through 20 October 2022

ER -

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

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

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