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2024 | OriginalPaper | Chapter

The Interval Dynamic Model of the DAB Converter is Used for Robust Model Predictive Control

Authors : Jiarui Wang, Xiaolan Wang, Rui Hao, Zhaohui Li, Lixin Wang, Meng Yue

Published in: The Proceedings of 2023 International Conference on Wireless Power Transfer (ICWPT2023)

Publisher: Springer Nature Singapore

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Abstract

This paper focuses on the robustness issue caused by load resistance variations in the dual active bridge DC-DC (DAB) converter. It proposes a robust model predictive control algorithm and establishes an interval dynamic model. The algorithm consists of two parts: offline and online. In the offline part, the system parameters are treated as intervals instead of single values, and the corresponding interval dynamic model is established. Then, linear matrix inequalities (LMI) are used to solve the feedback control gain sequences. In the online part, the actual control law of the system is determined based on the position of the state variables in the polyhedral invariant set. Simulation results demonstrate that the designed controllers can maintain stable voltage output and good dynamic characteristics of the DAB converter under input voltage disturbances and load resistance variations. This ensures a certain level of robustness. Simulation results demonstrate the ability of the designed controllers to maintain stable voltage output and good dynamic characteristics of the DAB converter under input voltage disturbances and load resistance variations, ensuring a certain level of robustness.

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Title: The Interval Dynamic Model of the DAB Converter is Used for Robust Model Predictive Control
Authors: Jiarui Wang
Xiaolan Wang
Rui Hao
Zhaohui Li
Lixin Wang
Meng Yue
Publisher: Springer Nature Singapore
Book: The Proceedings of 2023 International Conference on Wireless Power Transfer (ICWPT2023)
Print ISBN: 978-981-9708-64-2

Electronic ISBN: 978-981-9708-65-9

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-981-97-0865-9_34