Model Predictive Control for Interleaved DC-DC Boost Converter Based on Kalman Compensation

Yan Liang, Zehua Liang, Dongdong Zhao, Yigeng Huangfu, Liang Guo

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

9 Scopus citations

Abstract

A Finite Control Set Model Predictive Control (FCS-MPC) algorithm is proposed for an interleaved DC-DC boost converter as a current-mode controller to follow the inductor current reference without an additional modulation stage. It is able to ensure equal load distribution among the paralleled branches and overcome non-minimum phase behavior through transferring output voltage regulation into inductor current regulation. A Kalman observer is designed to obtain the load resistance variation and the integrated voltage error which is used to compensate the current reference calculation. The algorithm has been tested in simulation and the results show the proposed control strategy could achieve effective output voltage regulation with fast response and good robustness in the presence of load variations and input voltage disturbances.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538660539
DOIs
StatePublished - 26 Dec 2018
Event2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018 - Shenzhen, China
Duration: 4 Nov 20187 Nov 2018

Publication series

NameProceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018

Conference

Conference2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018
Country/TerritoryChina
CityShenzhen
Period4/11/187/11/18

Keywords

  • current compensation
  • FCS-MPC
  • interleaved DC-DC boost converter
  • Kalman observer

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