PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking

Fan Li; Wei Shen; Chuanyu Ge

doi:10.1109/CCDC55256.2022.10033586

PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking

Fan Li, Wei Shen^*, Chuanyu Ge

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

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

3 Citations (Scopus)

Abstract

The PI controller is the most basic and widely used for the permanent magnet synchronous motor speed control. The cumbersome parameter adjustment process makes it difficult for the PI controller to balance convenience and performance. To this end, this paper presents a new PI tuning and optimization scheme based on multivariable sliding-mode extremum seeking. Firstly, by analyzing the frequency domain model of permanent magnet synchronous motor, the analytical calculation formulas of controller parameters and motor parameters are derived as the initial value of PI parameter optimization. Then, a multivariable sliding-mode extremum seeking optimizer is designed to optimize the control parameters by minimizing the cost function based on the feedback error term. The feasibility of the above scheme is proved by theoretical derivation, and the simulation and experimental results also verify the feasibility and effectiveness of the proposed method.

Original language	English
Title of host publication	Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	364-369
Number of pages	6
ISBN (Electronic)	9781665478960
DOIs	https://doi.org/10.1109/CCDC55256.2022.10033586
Publication status	Published - 2022
Event	34th Chinese Control and Decision Conference, CCDC 2022 - Hefei, China Duration: 15 Aug 2022 → 17 Aug 2022

Publication series

Name	Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022

Conference

Conference	34th Chinese Control and Decision Conference, CCDC 2022
Country/Territory	China
City	Hefei
Period	15/08/22 → 17/08/22

Keywords

multivariable sliding mode extremum seeking(MSME)
parameter optimization
permanent-magnet synchronous motor(PMSM)
self-tuning

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10.1109/CCDC55256.2022.10033586

Cite this

Li, F., Shen, W., & Ge, C. (2022). PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking. In Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022 (pp. 364-369). (Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC55256.2022.10033586

Li, Fan ; Shen, Wei ; Ge, Chuanyu. / PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking. Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 364-369 (Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022).

@inproceedings{8597898bc8b5447192b23775ef0ff5e6,

title = "PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking",

abstract = "The PI controller is the most basic and widely used for the permanent magnet synchronous motor speed control. The cumbersome parameter adjustment process makes it difficult for the PI controller to balance convenience and performance. To this end, this paper presents a new PI tuning and optimization scheme based on multivariable sliding-mode extremum seeking. Firstly, by analyzing the frequency domain model of permanent magnet synchronous motor, the analytical calculation formulas of controller parameters and motor parameters are derived as the initial value of PI parameter optimization. Then, a multivariable sliding-mode extremum seeking optimizer is designed to optimize the control parameters by minimizing the cost function based on the feedback error term. The feasibility of the above scheme is proved by theoretical derivation, and the simulation and experimental results also verify the feasibility and effectiveness of the proposed method.",

keywords = "multivariable sliding mode extremum seeking(MSME), parameter optimization, permanent-magnet synchronous motor(PMSM), self-tuning",

author = "Fan Li and Wei Shen and Chuanyu Ge",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 34th Chinese Control and Decision Conference, CCDC 2022 ; Conference date: 15-08-2022 Through 17-08-2022",

year = "2022",

doi = "10.1109/CCDC55256.2022.10033586",

language = "English",

series = "Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022",

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

pages = "364--369",

booktitle = "Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022",

address = "United States",

}

Li, F, Shen, W & Ge, C 2022, PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking. in Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022. Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022, Institute of Electrical and Electronics Engineers Inc., pp. 364-369, 34th Chinese Control and Decision Conference, CCDC 2022, Hefei, China, 15/08/22. https://doi.org/10.1109/CCDC55256.2022.10033586

PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking. / Li, Fan; Shen, Wei; Ge, Chuanyu.
Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 364-369 (Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022).

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

TY - GEN

T1 - PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking

AU - Li, Fan

AU - Shen, Wei

AU - Ge, Chuanyu

PY - 2022

Y1 - 2022

N2 - The PI controller is the most basic and widely used for the permanent magnet synchronous motor speed control. The cumbersome parameter adjustment process makes it difficult for the PI controller to balance convenience and performance. To this end, this paper presents a new PI tuning and optimization scheme based on multivariable sliding-mode extremum seeking. Firstly, by analyzing the frequency domain model of permanent magnet synchronous motor, the analytical calculation formulas of controller parameters and motor parameters are derived as the initial value of PI parameter optimization. Then, a multivariable sliding-mode extremum seeking optimizer is designed to optimize the control parameters by minimizing the cost function based on the feedback error term. The feasibility of the above scheme is proved by theoretical derivation, and the simulation and experimental results also verify the feasibility and effectiveness of the proposed method.

AB - The PI controller is the most basic and widely used for the permanent magnet synchronous motor speed control. The cumbersome parameter adjustment process makes it difficult for the PI controller to balance convenience and performance. To this end, this paper presents a new PI tuning and optimization scheme based on multivariable sliding-mode extremum seeking. Firstly, by analyzing the frequency domain model of permanent magnet synchronous motor, the analytical calculation formulas of controller parameters and motor parameters are derived as the initial value of PI parameter optimization. Then, a multivariable sliding-mode extremum seeking optimizer is designed to optimize the control parameters by minimizing the cost function based on the feedback error term. The feasibility of the above scheme is proved by theoretical derivation, and the simulation and experimental results also verify the feasibility and effectiveness of the proposed method.

KW - multivariable sliding mode extremum seeking(MSME)

KW - parameter optimization

KW - permanent-magnet synchronous motor(PMSM)

KW - self-tuning

UR - http://www.scopus.com/inward/record.url?scp=85149507932&partnerID=8YFLogxK

U2 - 10.1109/CCDC55256.2022.10033586

DO - 10.1109/CCDC55256.2022.10033586

M3 - Conference contribution

AN - SCOPUS:85149507932

T3 - Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022

SP - 364

EP - 369

BT - Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 34th Chinese Control and Decision Conference, CCDC 2022

Y2 - 15 August 2022 through 17 August 2022

ER -

Li F, Shen W, Ge C. PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking. In Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 364-369. (Proceedings of the 34th Chinese Control and Decision Conference, CCDC 2022). doi: 10.1109/CCDC55256.2022.10033586

PI Tuning and Optimization for Speed Control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking

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