Model Predictive Control with a Novel Parameter Identification Scheme for Dual-Active-Bridge Converters

Yi Zhu, Yong Yang*, Huiqing Wen*, Jianliang Mao, Pan Wang, Xiaohu Fan, Weiguo Huang, Zijian Zhao, Saad Mekhilef, Jose Rodriguez

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

This article proposes a moving discretized control set model predictive control (MDCS-MPC) strategy with a simple parameter identification scheme for dual-active-bridge (DAB) converters. The value of the leakage inductance of the high-frequency transformer is estimated online within the digital microcontroller with an easy-implement gradient descent method. The identification scheme is isolated from the control loop. Therefore, the parameter identification scheme can improve the reliability of DAB converters when the leakage inductance changes due to temperature or other influence factors. The effectiveness of the proposed control strategy is verified by experiments.

Original languageEnglish
Pages (from-to)4704-4713
Number of pages10
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Volume11
Issue number5
DOIs
Publication statusPublished - 1 Oct 2023

Keywords

  • Dual-active-bridge (DAB) converters
  • model predictive control (MPC)
  • online parameter identification

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