Continuous Model Predictive Control of Current-fed Half-Bridge Isolated DC/DC Converter

Zehua Liang, Dongdong Zhao, Rui Ma, Haiyan Li, Yigeng Huangfu

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

1 Scopus citations

Abstract

This paper focuses on the control of the snubberless naturally-clamped soft-switching current-fed halfbridge isolated DC/DC converter. The average state-space model for the converter is established and linearized. Adopting the discrete-time linear predictive model, a continuous control set model predictive controller (CCS-MPC) with fixed switching frequency is firstly proposed for this converter control to improve the converter dynamic performance. Meanwhile, in order to solve the model-mismatch to achieve offset-free tracking, the extended-Kalman observer is designed to obtain the voltage error and the integrated error for dynamically compensating the current reference calculation as a feedforward compensator. Finally, the proposed control strategy is validated by the simulation of MATLAB/Simulink, and the proposed approach can stabilize the output voltage with good steady-state performance and strong robustness against the input voltage and load variations.

Original languageEnglish
Title of host publication2020 IEEE Industry Applications Society Annual Meeting, IAS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728171920
DOIs
StatePublished - 10 Oct 2020
Event2020 IEEE Industry Applications Society Annual Meeting, IAS 2020 - Detroit, United States
Duration: 10 Oct 202016 Oct 2020

Publication series

Name2020 IEEE Industry Applications Society Annual Meeting, IAS 2020

Conference

Conference2020 IEEE Industry Applications Society Annual Meeting, IAS 2020
Country/TerritoryUnited States
CityDetroit
Period10/10/2016/10/20

Keywords

  • current compensation
  • current-fed isolated converter
  • Extended-Kalman observer
  • model predictive control (MPC)
  • state-space average model

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