Compensation Function Observer Based Model Predictive Control for Interleaved Boost Converter

Xinhong Yu, Tiantian Jiang, Libin Xu, Yao Wei, Fengxiang Wang*, Jose Rodriguez

*Corresponding author for this work

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

Abstract

Three-phase interleaved boost converter has the characteristics of small input current ripple and high power density. However, unknown external disturbances, temperature change can cause inductive device parameter mismatch and control performance degradation. To solve this problem, this paper proposes a model predictive control method based on compensation function observer (CFO). Firstly, the mathematical model of the boost converter is established, and a predictive model including parameter disturbance terms is constructed. Secondly, the CFO is designed to observe the disturbance terms in the system and compensate for the fixed errors of the traditional observer, thereby improving the accuracy of the system. Thirdly, to achieve better dynamic performance, both the inner and outer loops employ model predictive control (MPC). Finally, the effectiveness and superiority of the proposed method were validated through experimental tests on the dynamic performance and robustness of the boost converter.

Original languageEnglish
Title of host publication2023 International Future Energy Electronics Conference, IFEEC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages83-88
Number of pages6
ISBN (Electronic)9798350339888
DOIs
StatePublished - 2023
Event6th International Future Energy Electronics Conference, IFEEC 2023 - Sydney, Australia
Duration: 20232023

Publication series

Name2023 International Future Energy Electronics Conference, IFEEC 2023

Conference

Conference6th International Future Energy Electronics Conference, IFEEC 2023
Country/TerritoryAustralia
CitySydney
Period20/11/2323/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Instrumentation
  • Computer Networks and Communications

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