Model Predictive Control of LCL Resonant Dual Active Bridge Converter

Molin Li, Zhiqiang Guo*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

This article presents a model predictive control of LCL resonant dual active bridge (DAB) converters, which can improve the dynamic response of the converter. The converter works at an optimized DPS control. To improve the dynamic response, a model predictive control for the LCL-DAB converter is derived by solving the optimized objective function. According to the derivation, the model predictive control is composed of a feedback control loop and feedforward control. The small-signal model is established and the output impedance is analyzed. Finally, the prototype has been built to verify the performance of the proposed model predictive control.

Original languageEnglish
Title of host publicationPEAS 2021 - 2021 IEEE 1st International Power Electronics and Application Symposium, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665413596
DOIs
Publication statusPublished - 2021
Event1st IEEE International Power Electronics and Application Symposium, PEAS 2021 - Shanghai, China
Duration: 12 Nov 202115 Nov 2021

Publication series

NamePEAS 2021 - 2021 IEEE 1st International Power Electronics and Application Symposium, Conference Proceedings

Conference

Conference1st IEEE International Power Electronics and Application Symposium, PEAS 2021
Country/TerritoryChina
CityShanghai
Period12/11/2115/11/21

Keywords

  • DAB
  • Good dynamic response
  • LCL
  • Model predictive control

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