Algebraic Estimator based Model-free Predictive Control for Interleaved Buck Converter using Composite Simpson Rule

Libin Xu, Fengxiang Wang, Xinhong Yu, Jose Rodriguez, Dongliang Ke, Marcelo Lobo Heldwein

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

1 Scopus citations

Abstract

In order to solve the performance deterioration of interleaved buck converter under complex operational environments, a model-free predictive control based on algebraic estimator is proposed in this paper. Firstly, the mathematical model is replaced by ultra-local model to reduce the reliance of predictive model. Secondly, composite Simpson rule with low truncation error is applied in algebraic estimator to observe lumped disturbance accurately and improve the precision of predictive model. Thirdly, deadbeat control strategy and control delay compensation are designed to eliminate the effect of time delay. Finally, the effectiveness of proposed method is validated by experimental comparison.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350396867
DOIs
StatePublished - 2023
Event2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 - Wuhan, China
Duration: 16 Jun 202319 Jun 2023

Publication series

Name2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

Conference

Conference2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
Country/TerritoryChina
CityWuhan
Period16/06/2319/06/23

Keywords

  • algebraic estimator
  • composite Simpson rule
  • interleaved buck converter
  • model-free predictive control

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