Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM

Ahmed Nasr; Chunyang Gu; Salman Ijaz; Giampaolo Buticchi; Serhiy Bozhko; Chris Gerada

doi:10.1109/ceepe55110.2022.9783432

Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM

Ahmed Nasr, Chunyang Gu, Salman Ijaz, Giampaolo Buticchi, Serhiy Bozhko, Chris Gerada

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

1 Citation (Scopus)

Abstract

This paper proposes an advanced sequential finite-element-based model predictive torque and flux control (SQ-FE-MPTFC) method to mitigate the torque ripple of the interior permanent magnet synchronous motor (IPMSM) while simplifying the control implementation by preselecting a reduced control set and eliminating the need for a weighting factor. This strategy optimally selects a combination of active-and zero-voltage vectors at every control cycle and obtains the switching instant based on an adjustable torque-error tolerance and the torque deviation produced by the AVV. First, considering the torque-error tolerance, it preselects two candidate AVVs among those admitted by the two-level voltage source inverter. Then, the switching instant of each candidate is decided using its predicted torque deviation to satisfy the minimum torque ripple. Among these candidates, the optimal one with its corresponding duty time is selected based on a weighting factor-less cost function that considers the flux-amplitude error. Finally, the FE-based IPMSM model is used to verify the effectiveness of the proposed method by simulations in Matlab/Simulink environment.

Original language	English
Title of host publication	2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1081-1086
Number of pages	6
ISBN (Electronic)	9781665479059
DOIs	https://doi.org/10.1109/ceepe55110.2022.9783432 https://doi.org/10.1109/CEEPE55110.2022.9783432
Publication status	Published - Jun 2022
Event	5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022 - Chongqing, China Duration: 22 Apr 2022 → 24 Apr 2022

Publication series

Name	2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

Conference

Conference	5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022
Country/Territory	China
City	Chongqing
Period	22/04/22 → 24/04/22

Keywords

Finite-element-based model
interior permanent magnet
IPMSM
low complexity
predictive control
ripple reduction
voltage vectors

ASJC Scopus subject areas

Computer Networks and Communications
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

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Nasr, A., Gu, C., Ijaz, S., Buticchi, G., Bozhko, S., & Gerada, C. (2022). Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM. In 2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022 (pp. 1081-1086). (2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ceepe55110.2022.9783432, https://doi.org/10.1109/CEEPE55110.2022.9783432

Nasr, Ahmed ; Gu, Chunyang ; Ijaz, Salman et al. / Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM. 2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 1081-1086 (2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022).

@inproceedings{6153cff7c5ed42e7aa0e0592e5add2aa,

title = "Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM",

abstract = "This paper proposes an advanced sequential finite-element-based model predictive torque and flux control (SQ-FE-MPTFC) method to mitigate the torque ripple of the interior permanent magnet synchronous motor (IPMSM) while simplifying the control implementation by preselecting a reduced control set and eliminating the need for a weighting factor. This strategy optimally selects a combination of active-and zero-voltage vectors at every control cycle and obtains the switching instant based on an adjustable torque-error tolerance and the torque deviation produced by the AVV. First, considering the torque-error tolerance, it preselects two candidate AVVs among those admitted by the two-level voltage source inverter. Then, the switching instant of each candidate is decided using its predicted torque deviation to satisfy the minimum torque ripple. Among these candidates, the optimal one with its corresponding duty time is selected based on a weighting factor-less cost function that considers the flux-amplitude error. Finally, the FE-based IPMSM model is used to verify the effectiveness of the proposed method by simulations in Matlab/Simulink environment.",

keywords = "Finite-element-based model, interior permanent magnet, IPMSM, low complexity, predictive control, ripple reduction, voltage vectors",

author = "Ahmed Nasr and Chunyang Gu and Salman Ijaz and Giampaolo Buticchi and Serhiy Bozhko and Chris Gerada",

note = "Funding Information: This work was supported in part by the Ministry of Science and Technology under National Key Research and Development Program of China under Grant 2021YFE0108600, in part by the Ningbo Key Technology Research and Development Programme under Grant 2021Z035, and in part by the Key International Cooperation of National Natural Science Foundation of China under Grant 51920105011. Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022 ; Conference date: 22-04-2022 Through 24-04-2022",

year = "2022",

month = jun,

doi = "10.1109/ceepe55110.2022.9783432",

language = "English",

series = "2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022",

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

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Nasr, A , Gu, C , Ijaz, S , Buticchi, G, Bozhko, S & Gerada, C 2022, Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM. in 2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022. 2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 1081-1086, 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022, Chongqing, China, 22/04/22. https://doi.org/10.1109/ceepe55110.2022.9783432, https://doi.org/10.1109/CEEPE55110.2022.9783432

Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM. / Nasr, Ahmed ; Gu, Chunyang ; Ijaz, Salman et al.
2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1081-1086 (2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022).

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

TY - GEN

T1 - Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM

AU - Nasr, Ahmed

AU - Gu, Chunyang

AU - Ijaz, Salman

AU - Buticchi, Giampaolo

AU - Bozhko, Serhiy

AU - Gerada, Chris

N1 - Funding Information: This work was supported in part by the Ministry of Science and Technology under National Key Research and Development Program of China under Grant 2021YFE0108600, in part by the Ningbo Key Technology Research and Development Programme under Grant 2021Z035, and in part by the Key International Cooperation of National Natural Science Foundation of China under Grant 51920105011. Publisher Copyright: © 2022 IEEE.

PY - 2022/6

Y1 - 2022/6

N2 - This paper proposes an advanced sequential finite-element-based model predictive torque and flux control (SQ-FE-MPTFC) method to mitigate the torque ripple of the interior permanent magnet synchronous motor (IPMSM) while simplifying the control implementation by preselecting a reduced control set and eliminating the need for a weighting factor. This strategy optimally selects a combination of active-and zero-voltage vectors at every control cycle and obtains the switching instant based on an adjustable torque-error tolerance and the torque deviation produced by the AVV. First, considering the torque-error tolerance, it preselects two candidate AVVs among those admitted by the two-level voltage source inverter. Then, the switching instant of each candidate is decided using its predicted torque deviation to satisfy the minimum torque ripple. Among these candidates, the optimal one with its corresponding duty time is selected based on a weighting factor-less cost function that considers the flux-amplitude error. Finally, the FE-based IPMSM model is used to verify the effectiveness of the proposed method by simulations in Matlab/Simulink environment.

AB - This paper proposes an advanced sequential finite-element-based model predictive torque and flux control (SQ-FE-MPTFC) method to mitigate the torque ripple of the interior permanent magnet synchronous motor (IPMSM) while simplifying the control implementation by preselecting a reduced control set and eliminating the need for a weighting factor. This strategy optimally selects a combination of active-and zero-voltage vectors at every control cycle and obtains the switching instant based on an adjustable torque-error tolerance and the torque deviation produced by the AVV. First, considering the torque-error tolerance, it preselects two candidate AVVs among those admitted by the two-level voltage source inverter. Then, the switching instant of each candidate is decided using its predicted torque deviation to satisfy the minimum torque ripple. Among these candidates, the optimal one with its corresponding duty time is selected based on a weighting factor-less cost function that considers the flux-amplitude error. Finally, the FE-based IPMSM model is used to verify the effectiveness of the proposed method by simulations in Matlab/Simulink environment.

KW - Finite-element-based model

KW - interior permanent magnet

KW - IPMSM

KW - low complexity

KW - predictive control

KW - ripple reduction

KW - voltage vectors

UR - http://www.scopus.com/inward/record.url?scp=85132246443&partnerID=8YFLogxK

U2 - 10.1109/ceepe55110.2022.9783432

DO - 10.1109/ceepe55110.2022.9783432

M3 - Conference contribution

T3 - 2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

SP - 1081

EP - 1086

BT - 2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

Y2 - 22 April 2022 through 24 April 2022

ER -

Nasr A , Gu C , Ijaz S , Buticchi G, Bozhko S, Gerada C. Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM. In 2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1081-1086. (2022 5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022). doi: 10.1109/ceepe55110.2022.9783432, 10.1109/CEEPE55110.2022.9783432

Sequential Finite-Element-based Model Predictive Torque and Flux Control Method for IPMSM

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