Experimental Measurement Based Accurate Modelling Method for Switched Reluctance Motors

Mahmoud I. Elkasas; Mahmoud Hamouda; Abdelhady Ghanem; Mohamed F. Kotb

doi:10.1109/MEPCON58725.2023.10462424

Experimental Measurement Based Accurate Modelling Method for Switched Reluctance Motors

Mahmoud I. Elkasas^*, Mahmoud Hamouda, Abdelhady Ghanem, Mohamed F. Kotb

^*Corresponding author for this work

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

Abstract

The switched reluctance motors (SRMs) are challenging for precise modeling, performance analyses, and sophisticated control because of their double saliency of structure, intense saturation of normal operation, and extreme nonlinearity of magnetization properties. This paper offers a precise technique for quantifying the SRM's flux-linkage and static torque properties, using a digital signal processor (DSP) and LabVIEW data acquisition system (DAQ) to execute the measurements. Realistic implementation and theoretical proof of the recommended technique are introduced and thoroughly explained. The measured data must be filtered to reduce the effect of signal errors and increase the accuracy of the generated model. The actual measurements of different operation values are used to validate the model accuracy and compare the measured data with the data resulting from the 6/4 SRM model of MATLAB/Simulink. Measurement accuracy is demonstrated by a comparison between simulated and experimentally observed current waveforms, which proves the high consistency of the generated model.

Original language	English
Title of host publication	2023 24th International Middle East Power System Conference, MEPCON 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350358469
DOIs	https://doi.org/10.1109/MEPCON58725.2023.10462424
State	Published - 2023
Externally published	Yes
Event	24th International Middle East Power System Conference, MEPCON 2023 - Mansoura, Egypt Duration: 19 Dec 2023 → 21 Dec 2023

Publication series

Name	2023 24th International Middle East Power System Conference, MEPCON 2023

Conference

Conference	24th International Middle East Power System Conference, MEPCON 2023
Country/Territory	Egypt
City	Mansoura
Period	19/12/23 → 21/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

electric machine modeling
flux measurement
magnetization characteristics
switched reluctance motor (SRM)
torque measurement

ASJC Scopus subject areas

Artificial Intelligence
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/MEPCON58725.2023.10462424

Cite this

Elkasas, M. I., Hamouda, M., Ghanem, A., & Kotb, M. F. (2023). Experimental Measurement Based Accurate Modelling Method for Switched Reluctance Motors. In 2023 24th International Middle East Power System Conference, MEPCON 2023 (2023 24th International Middle East Power System Conference, MEPCON 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEPCON58725.2023.10462424

@inproceedings{fe9cd4f1dc334650ab3b5e13d6cb82b4,

title = "Experimental Measurement Based Accurate Modelling Method for Switched Reluctance Motors",

abstract = "The switched reluctance motors (SRMs) are challenging for precise modeling, performance analyses, and sophisticated control because of their double saliency of structure, intense saturation of normal operation, and extreme nonlinearity of magnetization properties. This paper offers a precise technique for quantifying the SRM's flux-linkage and static torque properties, using a digital signal processor (DSP) and LabVIEW data acquisition system (DAQ) to execute the measurements. Realistic implementation and theoretical proof of the recommended technique are introduced and thoroughly explained. The measured data must be filtered to reduce the effect of signal errors and increase the accuracy of the generated model. The actual measurements of different operation values are used to validate the model accuracy and compare the measured data with the data resulting from the 6/4 SRM model of MATLAB/Simulink. Measurement accuracy is demonstrated by a comparison between simulated and experimentally observed current waveforms, which proves the high consistency of the generated model.",

keywords = "electric machine modeling, flux measurement, magnetization characteristics, switched reluctance motor (SRM), torque measurement",

author = "Elkasas, {Mahmoud I.} and Mahmoud Hamouda and Abdelhady Ghanem and Kotb, {Mohamed F.}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 24th International Middle East Power System Conference, MEPCON 2023 ; Conference date: 19-12-2023 Through 21-12-2023",

year = "2023",

doi = "10.1109/MEPCON58725.2023.10462424",

language = "English",

series = "2023 24th International Middle East Power System Conference, MEPCON 2023",

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

booktitle = "2023 24th International Middle East Power System Conference, MEPCON 2023",

address = "United States",

}

Elkasas, MI, Hamouda, M, Ghanem, A & Kotb, MF 2023, Experimental Measurement Based Accurate Modelling Method for Switched Reluctance Motors. in 2023 24th International Middle East Power System Conference, MEPCON 2023. 2023 24th International Middle East Power System Conference, MEPCON 2023, Institute of Electrical and Electronics Engineers Inc., 24th International Middle East Power System Conference, MEPCON 2023, Mansoura, Egypt, 19/12/23. https://doi.org/10.1109/MEPCON58725.2023.10462424

Experimental Measurement Based Accurate Modelling Method for Switched Reluctance Motors. / Elkasas, Mahmoud I.; Hamouda, Mahmoud; Ghanem, Abdelhady et al.
2023 24th International Middle East Power System Conference, MEPCON 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 24th International Middle East Power System Conference, MEPCON 2023).

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

TY - GEN

T1 - Experimental Measurement Based Accurate Modelling Method for Switched Reluctance Motors

AU - Elkasas, Mahmoud I.

AU - Hamouda, Mahmoud

AU - Ghanem, Abdelhady

AU - Kotb, Mohamed F.

PY - 2023

Y1 - 2023

N2 - The switched reluctance motors (SRMs) are challenging for precise modeling, performance analyses, and sophisticated control because of their double saliency of structure, intense saturation of normal operation, and extreme nonlinearity of magnetization properties. This paper offers a precise technique for quantifying the SRM's flux-linkage and static torque properties, using a digital signal processor (DSP) and LabVIEW data acquisition system (DAQ) to execute the measurements. Realistic implementation and theoretical proof of the recommended technique are introduced and thoroughly explained. The measured data must be filtered to reduce the effect of signal errors and increase the accuracy of the generated model. The actual measurements of different operation values are used to validate the model accuracy and compare the measured data with the data resulting from the 6/4 SRM model of MATLAB/Simulink. Measurement accuracy is demonstrated by a comparison between simulated and experimentally observed current waveforms, which proves the high consistency of the generated model.

AB - The switched reluctance motors (SRMs) are challenging for precise modeling, performance analyses, and sophisticated control because of their double saliency of structure, intense saturation of normal operation, and extreme nonlinearity of magnetization properties. This paper offers a precise technique for quantifying the SRM's flux-linkage and static torque properties, using a digital signal processor (DSP) and LabVIEW data acquisition system (DAQ) to execute the measurements. Realistic implementation and theoretical proof of the recommended technique are introduced and thoroughly explained. The measured data must be filtered to reduce the effect of signal errors and increase the accuracy of the generated model. The actual measurements of different operation values are used to validate the model accuracy and compare the measured data with the data resulting from the 6/4 SRM model of MATLAB/Simulink. Measurement accuracy is demonstrated by a comparison between simulated and experimentally observed current waveforms, which proves the high consistency of the generated model.

KW - electric machine modeling

KW - flux measurement

KW - magnetization characteristics

KW - switched reluctance motor (SRM)

KW - torque measurement

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U2 - 10.1109/MEPCON58725.2023.10462424

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M3 - Conference contribution

AN - SCOPUS:85190363514

T3 - 2023 24th International Middle East Power System Conference, MEPCON 2023

BT - 2023 24th International Middle East Power System Conference, MEPCON 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th International Middle East Power System Conference, MEPCON 2023

Y2 - 19 December 2023 through 21 December 2023

ER -

Elkasas MI, Hamouda M, Ghanem A, Kotb MF. Experimental Measurement Based Accurate Modelling Method for Switched Reluctance Motors. In 2023 24th International Middle East Power System Conference, MEPCON 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 24th International Middle East Power System Conference, MEPCON 2023). doi: 10.1109/MEPCON58725.2023.10462424

Experimental Measurement Based Accurate Modelling Method for Switched Reluctance Motors

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this