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Model Predictive Control for DC Offset Suppression of Dual Active Bridge Converter for More-Electric Aircraft Applications

Zhu, Yiren; Wang, Zhenyu; Yang, Tao; Dragicevic, Tomislav; Bozhko, Serhiy; Wheeler, Patrick

Authors

Yiren Zhu

Zhenyu Wang

Tomislav Dragicevic



Abstract

In this paper, the Dual Active Bridge (DAB) converter used to interface batteries for 270/28V on-board grid in More electric aircraft (MEA) applications is investigated. In order to transfer the desired rated power of 3kW, the low voltage terminal current is controlled. For such reason, a Model predictive control (MPC) method is proposed with the aim of achieving fast dynamic performance. However, due to the unexpected DC offset under steady state operation, another MPC strategy is developed aiming to eliminate this offset and improve the system efficiency. The second MPC method is evaluated based on the comparison with the traditional Proportion Integration (PI) control method. Simulation results for a 270/28V DAB converter rated at 3kW are presented for the validation of the proposed method.

Citation

Zhu, Y., Wang, Z., Yang, T., Dragicevic, T., Bozhko, S., & Wheeler, P. (2021, June). Model Predictive Control for DC Offset Suppression of Dual Active Bridge Converter for More-Electric Aircraft Applications. Presented at 2021 ISIE-30th IEEE International Symposium on Industrial Electronics, Kyoto, Japan (online)

Presentation Conference Type Edited Proceedings
Conference Name 2021 ISIE-30th IEEE International Symposium on Industrial Electronics
Start Date Jun 20, 2021
End Date Jun 23, 2021
Acceptance Date Jun 20, 2021
Online Publication Date Nov 1, 2021
Publication Date Jun 20, 2021
Deposit Date Jun 14, 2024
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Pages 797-802
Series ISSN 2163-5145
Book Title 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)
ISBN 978-1-7281-9022-8
DOI https://doi.org/10.1109/isie45552.2021.9576199
Public URL https://nottingham-repository.worktribe.com/output/35447042
Publisher URL https://ieeexplore.ieee.org/document/9576199