Finite-set Model Predictive Current Control for Variable-flux Memory Machine Drives with a Three-stage Optimization Strategy

Xing Liu; Feng Yu; Hui Yang; Hanlin Zhan; Heyun Lin; Chaohui Liu

doi:10.1109/PRECEDE57319.2023.10174515

Finite-set Model Predictive Current Control for Variable-flux Memory Machine Drives with a Three-stage Optimization Strategy

Xing Liu^*
, Feng Yu
, Hui Yang
, Hanlin Zhan
, Heyun Lin
, Chaohui Liu

^*Corresponding author for this work

Southeast University, Nanjing
Nantong University
Harbin Institute of Technology Shenzhen
National New Energy Vehicle Technology Innovation Center

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

1 Scopus citations

Abstract

This paper proposes a novel finite-set model predictive current control (FS-MPCC) method for variable flux memory machine (VFMM) drives with a three-stage optimization strategy. A geometric modulation method is proposed for the sake of extending the control set, by which, the number of options is extended from 7 to 193. In order to reduce the computation burden, a three-stage optimization strategy is proposed, which is composed of three parts, i.e. determining the sector, narrowing the targeted range and selecting the optimum vector. By the proposed strategy, only 9 vectors are associated with the current prediction and the cost function calculation. On this basis, a duty-cycle solving algorithm is utilized to further improve the steady-state performance of the investigated VFMM. Finally, simulation results are presented to verify the proposed method.

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
DOIs	https://doi.org/10.1109/PRECEDE57319.2023.10174515
State	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 - Wuhan, China Duration: 16 Jun 2023 → 19 Jun 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

Keywords

control set
duty-cycle calculation
finite-set model predictive current control
optimization strategy
variable flux memory machine

Access to Document

10.1109/PRECEDE57319.2023.10174515

Cite this

Liu, X., Yu, F., Yang, H., Zhan, H., Lin, H., & Liu, C. (2023). Finite-set Model Predictive Current Control for Variable-flux Memory Machine Drives with a Three-stage Optimization Strategy. 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/PRECEDE57319.2023.10174515

Liu, Xing ; Yu, Feng ; Yang, Hui et al. / Finite-set Model Predictive Current Control for Variable-flux Memory Machine Drives with a Three-stage Optimization Strategy. 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).

@inproceedings{404612d92b8f4f5d8a7395b332dac16f,

title = "Finite-set Model Predictive Current Control for Variable-flux Memory Machine Drives with a Three-stage Optimization Strategy",

abstract = "This paper proposes a novel finite-set model predictive current control (FS-MPCC) method for variable flux memory machine (VFMM) drives with a three-stage optimization strategy. A geometric modulation method is proposed for the sake of extending the control set, by which, the number of options is extended from 7 to 193. In order to reduce the computation burden, a three-stage optimization strategy is proposed, which is composed of three parts, i.e. determining the sector, narrowing the targeted range and selecting the optimum vector. By the proposed strategy, only 9 vectors are associated with the current prediction and the cost function calculation. On this basis, a duty-cycle solving algorithm is utilized to further improve the steady-state performance of the investigated VFMM. Finally, simulation results are presented to verify the proposed method.",

keywords = "control set, duty-cycle calculation, finite-set model predictive current control, optimization strategy, variable flux memory machine",

author = "Xing Liu and Feng Yu and Hui Yang and Hanlin Zhan and Heyun Lin and Chaohui Liu",

note = "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/PRECEDE57319.2023.10174515",

language = "英语",

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

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

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

address = "美国",

}

Liu, X, Yu, F, Yang, H, Zhan, H, Lin, H & Liu, C 2023, Finite-set Model Predictive Current Control for Variable-flux Memory Machine Drives with a Three-stage Optimization Strategy. 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/PRECEDE57319.2023.10174515

Finite-set Model Predictive Current Control for Variable-flux Memory Machine Drives with a Three-stage Optimization Strategy. / Liu, Xing; Yu, Feng; Yang, Hui 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

TY - GEN

T1 - Finite-set Model Predictive Current Control for Variable-flux Memory Machine Drives with a Three-stage Optimization Strategy

AU - Liu, Xing

AU - Yu, Feng

AU - Yang, Hui

AU - Zhan, Hanlin

AU - Lin, Heyun

AU - Liu, Chaohui

PY - 2023

Y1 - 2023

N2 - This paper proposes a novel finite-set model predictive current control (FS-MPCC) method for variable flux memory machine (VFMM) drives with a three-stage optimization strategy. A geometric modulation method is proposed for the sake of extending the control set, by which, the number of options is extended from 7 to 193. In order to reduce the computation burden, a three-stage optimization strategy is proposed, which is composed of three parts, i.e. determining the sector, narrowing the targeted range and selecting the optimum vector. By the proposed strategy, only 9 vectors are associated with the current prediction and the cost function calculation. On this basis, a duty-cycle solving algorithm is utilized to further improve the steady-state performance of the investigated VFMM. Finally, simulation results are presented to verify the proposed method.

AB - This paper proposes a novel finite-set model predictive current control (FS-MPCC) method for variable flux memory machine (VFMM) drives with a three-stage optimization strategy. A geometric modulation method is proposed for the sake of extending the control set, by which, the number of options is extended from 7 to 193. In order to reduce the computation burden, a three-stage optimization strategy is proposed, which is composed of three parts, i.e. determining the sector, narrowing the targeted range and selecting the optimum vector. By the proposed strategy, only 9 vectors are associated with the current prediction and the cost function calculation. On this basis, a duty-cycle solving algorithm is utilized to further improve the steady-state performance of the investigated VFMM. Finally, simulation results are presented to verify the proposed method.

KW - control set

KW - duty-cycle calculation

KW - finite-set model predictive current control

KW - optimization strategy

KW - variable flux memory machine

UR - https://www.scopus.com/pages/publications/85166217277

U2 - 10.1109/PRECEDE57319.2023.10174515

DO - 10.1109/PRECEDE57319.2023.10174515

M3 - 会议稿件

AN - SCOPUS:85166217277

T3 - 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

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

ER -

Liu X, Yu F, Yang H, Zhan H, Lin H, Liu C. Finite-set Model Predictive Current Control for Variable-flux Memory Machine Drives with a Three-stage Optimization Strategy. 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/PRECEDE57319.2023.10174515

Finite-set Model Predictive Current Control for Variable-flux Memory Machine Drives with a Three-stage Optimization Strategy

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Keywords

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