Model-Free Predictive Current Control Based on Maximum Torque per Ampere for PMSM

Xudong Guo; P. G. Ipoum Ngome; Daniel L. Mon-Nzongo; Jinquan Tang; Jose Rodriguez; Tao Jin

doi:10.1109/PRECEDE57319.2023.10174366

Model-Free Predictive Current Control Based on Maximum Torque per Ampere for PMSM

Xudong Guo^*, P. G. Ipoum Ngome, Daniel L. Mon-Nzongo, Jinquan Tang, Jose Rodriguez, Tao Jin

^*Corresponding author for this work

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

1 Scopus citations

Abstract

This paper proposed a model-free predictive control based on a maximum torque per ampere. The dynamic model of the permanent magnet synchronous motor is used to derive the expression of electromagnetic torque. Using the maximum torque per ampere control method the minimum current reference is derived. To achieve a robust performance under parameter changes and external disturbances influencing the permanent magnet synchronous motor, a model-free predictive control based on an ultra-local model and an extended state observer is proposed. The simulation results showed that compared with the classic linear controller, the proposed control strategy ensures smaller speed and torque ripples and better robustness under parameter mismatches and disturbance.

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/PRECEDE57319.2023.10174366
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

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/PRECEDE57319.2023.10174366

Cite this

Guo, X., Ipoum Ngome, P. G., Mon-Nzongo, D. L., Tang, J., Rodriguez, J., & Jin, T. (2023). Model-Free Predictive Current Control Based on Maximum Torque per Ampere for PMSM. 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/PRECEDE57319.2023.10174366

Guo, Xudong ; Ipoum Ngome, P. G. ; Mon-Nzongo, Daniel L. et al. / Model-Free Predictive Current Control Based on Maximum Torque per Ampere for PMSM. 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{441adb82e9314ea7a191ea4c9a9f1298,

title = "Model-Free Predictive Current Control Based on Maximum Torque per Ampere for PMSM",

abstract = "This paper proposed a model-free predictive control based on a maximum torque per ampere. The dynamic model of the permanent magnet synchronous motor is used to derive the expression of electromagnetic torque. Using the maximum torque per ampere control method the minimum current reference is derived. To achieve a robust performance under parameter changes and external disturbances influencing the permanent magnet synchronous motor, a model-free predictive control based on an ultra-local model and an extended state observer is proposed. The simulation results showed that compared with the classic linear controller, the proposed control strategy ensures smaller speed and torque ripples and better robustness under parameter mismatches and disturbance.",

keywords = "Model-free predictive current control, extended state observer, maximum torque per ampere, ultra-local model",

author = "Xudong Guo and {Ipoum Ngome}, {P. G.} and Mon-Nzongo, {Daniel L.} and Jinquan Tang and Jose Rodriguez and Tao Jin",

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/PRECEDE57319.2023.10174366",

language = "English",

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",

}

Guo, X, Ipoum Ngome, PG, Mon-Nzongo, DL, Tang, J, Rodriguez, J & Jin, T 2023, Model-Free Predictive Current Control Based on Maximum Torque per Ampere for PMSM. 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/PRECEDE57319.2023.10174366

Model-Free Predictive Current Control Based on Maximum Torque per Ampere for PMSM. / Guo, Xudong; Ipoum Ngome, P. G.; Mon-Nzongo, Daniel L. 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 - Model-Free Predictive Current Control Based on Maximum Torque per Ampere for PMSM

AU - Guo, Xudong

AU - Ipoum Ngome, P. G.

AU - Mon-Nzongo, Daniel L.

AU - Tang, Jinquan

AU - Rodriguez, Jose

AU - Jin, Tao

PY - 2023

Y1 - 2023

N2 - This paper proposed a model-free predictive control based on a maximum torque per ampere. The dynamic model of the permanent magnet synchronous motor is used to derive the expression of electromagnetic torque. Using the maximum torque per ampere control method the minimum current reference is derived. To achieve a robust performance under parameter changes and external disturbances influencing the permanent magnet synchronous motor, a model-free predictive control based on an ultra-local model and an extended state observer is proposed. The simulation results showed that compared with the classic linear controller, the proposed control strategy ensures smaller speed and torque ripples and better robustness under parameter mismatches and disturbance.

AB - This paper proposed a model-free predictive control based on a maximum torque per ampere. The dynamic model of the permanent magnet synchronous motor is used to derive the expression of electromagnetic torque. Using the maximum torque per ampere control method the minimum current reference is derived. To achieve a robust performance under parameter changes and external disturbances influencing the permanent magnet synchronous motor, a model-free predictive control based on an ultra-local model and an extended state observer is proposed. The simulation results showed that compared with the classic linear controller, the proposed control strategy ensures smaller speed and torque ripples and better robustness under parameter mismatches and disturbance.

KW - Model-free predictive current control

KW - extended state observer

KW - maximum torque per ampere

KW - ultra-local model

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U2 - 10.1109/PRECEDE57319.2023.10174366

DO - 10.1109/PRECEDE57319.2023.10174366

M3 - Conference contribution

AN - SCOPUS:85166229583

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

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Guo X, Ipoum Ngome PG, Mon-Nzongo DL, Tang J, Rodriguez J, Jin T. Model-Free Predictive Current Control Based on Maximum Torque per Ampere for PMSM. 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/PRECEDE57319.2023.10174366

Model-Free Predictive Current Control Based on Maximum Torque per Ampere for PMSM

Abstract

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ASJC Scopus subject areas

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