SISO Control Strategy of Resonant Dual Active Bridge with a Tuned CLC Network

Meiqi Wang, Bo Yang, Lie Xu, Jing Li, David Gerada, Chunyang Gu, He Zhang, Chris Gerada, Yongdong Li

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

Abstract

This paper proposed a linear state-space model for a resonant dual active bridge with a tuned capacitor-inductor-capacitor network which is applied to an energy storage system. The proposed model is used for predicting the behavior of the proposed system and estimated the state variables under large signal variation. Using the proposed model, a decoupled control strategy was designed which realizes the high frequency link currents control and also improves the efficiency of the converter. By applying the steady-state relationship between state variables and the system inputs, the controller was simplified to a single proportional integral (PI) controller instead of from three PI controllers, which was implemented on a low cost digital signal processor and verified experimentally.

Original languageEnglish
Title of host publication2020 22nd European Conference on Power Electronics and Applications, EPE 2020 ECCE Europe
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789075815368
DOIs
Publication statusPublished - Sept 2020
Event22nd European Conference on Power Electronics and Applications, EPE 2020 ECCE Europe - Lyon, France
Duration: 7 Sept 202011 Sept 2020

Publication series

Name2020 22nd European Conference on Power Electronics and Applications, EPE 2020 ECCE Europe

Conference

Conference22nd European Conference on Power Electronics and Applications, EPE 2020 ECCE Europe
Country/TerritoryFrance
CityLyon
Period7/09/2011/09/20

Keywords

  • Bidirectional DC/DC converter
  • Control Design
  • Modeling
  • RDAB
  • System Efficiency

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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