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

doi:10.1109/PRECEDE57319.2023.10174495

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350396867
ISBN (Print)	9798350396867
DOIs	https://doi.org/10.1109/PRECEDE57319.2023.10174495
State	Published - 2023
Event	2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 - Wuhan, China Duration: 2023 → 2023

Publication series

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

Conference

Conference	2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
Country/Territory	China
City	Wuhan
Period	16/06/23 → 19/06/23

Bibliographical note

Funding Information:
This work was supported in part by the National Natural Science Funds of China under Grant 52277070, in part by the Science and Technology Program of Fujian Province 2021I0039, 2021T3064, 2021T3035, 2022T3070, and in part by ANID through Projects FB0008, 1210208, 1221293.

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus subject areas

Control and Optimization
Modeling and Simulation
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality

Access to Document

10.1109/PRECEDE57319.2023.10174495

Cite this

Xu, L., Wang, F., Yu, X., Rodriguez, J., Ke, D., & Heldwein, M. L. (2023). Algebraic Estimator based Model-free Predictive Control for Interleaved Buck Converter using Composite Simpson Rule. In 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 (2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PRECEDE57319.2023.10174495

Xu, Libin ; Wang, Fengxiang ; Yu, Xinhong et al. / Algebraic Estimator based Model-free Predictive Control for Interleaved Buck Converter using Composite Simpson Rule. 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023).

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

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.",

keywords = "algebraic estimator, composite Simpson rule, interleaved buck converter, model-free predictive control",

author = "Libin Xu and Fengxiang Wang and Xinhong Yu and Jose Rodriguez and Dongliang Ke and Heldwein, {Marcelo Lobo}",

note = "Funding Information: This work was supported in part by the National Natural Science Funds of China under Grant 52277070, in part by the Science and Technology Program of Fujian Province 2021I0039, 2021T3064, 2021T3035, 2022T3070, and in part by ANID through Projects FB0008, 1210208, 1221293. Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 ; Conference date: 16-06-2023 Through 19-06-2023",

year = "2023",

doi = "10.1109/PRECEDE57319.2023.10174495",

language = "English",

isbn = "9798350396867",

series = "2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Xu, L, Wang, F, Yu, X, Rodriguez, J, Ke, D & Heldwein, ML 2023, Algebraic Estimator based Model-free Predictive Control for Interleaved Buck Converter using Composite Simpson Rule. in 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023. 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023, Wuhan, China, 16/06/23. https://doi.org/10.1109/PRECEDE57319.2023.10174495

Algebraic Estimator based Model-free Predictive Control for Interleaved Buck Converter using Composite Simpson Rule. / Xu, Libin; Wang, Fengxiang; Yu, Xinhong et al.
2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Xu, Libin

AU - Wang, Fengxiang

AU - Yu, Xinhong

AU - Rodriguez, Jose

AU - Ke, Dongliang

AU - Heldwein, Marcelo Lobo

N1 - Funding Information: This work was supported in part by the National Natural Science Funds of China under Grant 52277070, in part by the Science and Technology Program of Fujian Province 2021I0039, 2021T3064, 2021T3035, 2022T3070, and in part by ANID through Projects FB0008, 1210208, 1221293. Publisher Copyright: © 2023 IEEE.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

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M3 - Conference contribution

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

Y2 - 16 June 2023 through 19 June 2023

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Xu L, Wang F, Yu X, Rodriguez J, Ke D, Heldwein ML. Algebraic Estimator based Model-free Predictive Control for Interleaved Buck Converter using Composite Simpson Rule. In 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023). doi: 10.1109/PRECEDE57319.2023.10174495

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

Abstract

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Bibliographical note

ASJC Scopus subject areas

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