Refined Sensorless-Based ILC Approach for Permanent Magnet Synchronous Motors

Sadeq Ali Qasem Mohammed; Hasan Ali Gamal Al-Kaf; Kyo Beum Lee

doi:10.1109/CENCON58932.2023.10369122

Refined Sensorless-Based ILC Approach for Permanent Magnet Synchronous Motors

Sadeq Ali Qasem Mohammed^*, Hasan Ali Gamal Al-Kaf, Kyo Beum Lee

^*Corresponding author for this work

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

1 Scopus citations

Abstract

This research work introduces an enhanced sensorless-based iterative learning control (ILC) method to elevate the steady-state and dynamic performance of permanent magnet synchronous motors (PMSMs). Unlike traditional sensorless control methods, the proposed method combines feedback control terms and ILC terms to minimize state errors and improve dynamic performance by utilizing recorded data from previous iterations. Precise knowledge of the PMSM parameters is not required, making the control approach less sensitive to system perturbation. Comparative simulation analyses using the PSIM simulation tool are carried out to validate the practicability of the proposed control approach both in transient and steady-state conditions.

Original language	English
Title of host publication	2023 IEEE Conference on Energy Conversion, CENCON 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	144-149
Number of pages	6
ISBN (Electronic)	9798350325096
DOIs	https://doi.org/10.1109/CENCON58932.2023.10369122
State	Published - 2023
Externally published	Yes
Event	6th IEEE Conference on Energy Conversion, CENCON 2023 - Kuching, Malaysia Duration: 23 Oct 2023 → 24 Oct 2023

Publication series

Name	2023 IEEE Conference on Energy Conversion, CENCON 2023

Conference

Conference	6th IEEE Conference on Energy Conversion, CENCON 2023
Country/Territory	Malaysia
City	Kuching
Period	23/10/23 → 24/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Iterative learning control
permanent magnet synchronous motors
sensorless control

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Automotive Engineering
Electrical and Electronic Engineering
Mechanical Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CENCON58932.2023.10369122

Cite this

Qasem Mohammed, S. A., Ali Gamal Al-Kaf, H., & Lee, K. B. (2023). Refined Sensorless-Based ILC Approach for Permanent Magnet Synchronous Motors. In 2023 IEEE Conference on Energy Conversion, CENCON 2023 (pp. 144-149). (2023 IEEE Conference on Energy Conversion, CENCON 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CENCON58932.2023.10369122

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title = "Refined Sensorless-Based ILC Approach for Permanent Magnet Synchronous Motors",

abstract = "This research work introduces an enhanced sensorless-based iterative learning control (ILC) method to elevate the steady-state and dynamic performance of permanent magnet synchronous motors (PMSMs). Unlike traditional sensorless control methods, the proposed method combines feedback control terms and ILC terms to minimize state errors and improve dynamic performance by utilizing recorded data from previous iterations. Precise knowledge of the PMSM parameters is not required, making the control approach less sensitive to system perturbation. Comparative simulation analyses using the PSIM simulation tool are carried out to validate the practicability of the proposed control approach both in transient and steady-state conditions.",

keywords = "Iterative learning control, permanent magnet synchronous motors, sensorless control",

author = "{Qasem Mohammed}, {Sadeq Ali} and {Ali Gamal Al-Kaf}, Hasan and Lee, {Kyo Beum}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE Conference on Energy Conversion, CENCON 2023 ; Conference date: 23-10-2023 Through 24-10-2023",

year = "2023",

doi = "10.1109/CENCON58932.2023.10369122",

language = "English",

series = "2023 IEEE Conference on Energy Conversion, CENCON 2023",

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

pages = "144--149",

booktitle = "2023 IEEE Conference on Energy Conversion, CENCON 2023",

address = "United States",

}

Qasem Mohammed, SA, Ali Gamal Al-Kaf, H & Lee, KB 2023, Refined Sensorless-Based ILC Approach for Permanent Magnet Synchronous Motors. in 2023 IEEE Conference on Energy Conversion, CENCON 2023. 2023 IEEE Conference on Energy Conversion, CENCON 2023, Institute of Electrical and Electronics Engineers Inc., pp. 144-149, 6th IEEE Conference on Energy Conversion, CENCON 2023, Kuching, Malaysia, 23/10/23. https://doi.org/10.1109/CENCON58932.2023.10369122

Refined Sensorless-Based ILC Approach for Permanent Magnet Synchronous Motors. / Qasem Mohammed, Sadeq Ali; Ali Gamal Al-Kaf, Hasan; Lee, Kyo Beum.
2023 IEEE Conference on Energy Conversion, CENCON 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 144-149 (2023 IEEE Conference on Energy Conversion, CENCON 2023).

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

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N2 - This research work introduces an enhanced sensorless-based iterative learning control (ILC) method to elevate the steady-state and dynamic performance of permanent magnet synchronous motors (PMSMs). Unlike traditional sensorless control methods, the proposed method combines feedback control terms and ILC terms to minimize state errors and improve dynamic performance by utilizing recorded data from previous iterations. Precise knowledge of the PMSM parameters is not required, making the control approach less sensitive to system perturbation. Comparative simulation analyses using the PSIM simulation tool are carried out to validate the practicability of the proposed control approach both in transient and steady-state conditions.

AB - This research work introduces an enhanced sensorless-based iterative learning control (ILC) method to elevate the steady-state and dynamic performance of permanent magnet synchronous motors (PMSMs). Unlike traditional sensorless control methods, the proposed method combines feedback control terms and ILC terms to minimize state errors and improve dynamic performance by utilizing recorded data from previous iterations. Precise knowledge of the PMSM parameters is not required, making the control approach less sensitive to system perturbation. Comparative simulation analyses using the PSIM simulation tool are carried out to validate the practicability of the proposed control approach both in transient and steady-state conditions.

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BT - 2023 IEEE Conference on Energy Conversion, CENCON 2023

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ER -

Refined Sensorless-Based ILC Approach for Permanent Magnet Synchronous Motors

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this