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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

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.

OriginalspracheEnglisch
Titel2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9798350396867
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 - Wuhan, China
Dauer: 16 Juni 202319 Juni 2023

Publikationsreihe

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

Konferenz

Konferenz2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
Land/GebietChina
OrtWuhan
Zeitraum16/06/2319/06/23

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