Dynamic Modeling of a Double-Stator Switched Reluctance Motor (DSSRM) Using a Lumped Parameter Circuit Model

This paper introduces a dynamic lumped circuit model for a Double-Stator Switched Reluctance Motor (DSSRM). The inductance dependency on rotor position is modeled using a truncated Fourier series, with the coefficients derived from measurements taken at aligned, unaligned, and midway rotor positions. This approach allows for precise modeling of the inductance variation with rotor position, enhancing the accuracy and performance of the DSSRM simulation, and the key advantage of the proposed model is its ability to predict the entire dynamic performance of the drive system while requiring minimal measurements. The model’s accuracy is validated by comparing its results with those obtained from Finite Element Analysis, demonstrating the reliability and effectiveness of the proposed modeling technique.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905661
Primary Topic
Electric Motor Design and Analysis
Type
article
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article

Dynamic Modeling of a Double-Stator Switched Reluctance Motor (DSSRM) Using a Lumped Parameter Circuit Model

Behnam M. Mosammam, Babak Fahimi, Poras T. Balsara, Milad Bahrami Fard
Electric Motor Design and Analysis
article

Dynamic Modeling of a Double-Stator Switched Reluctance Motor (DSSRM) Using a Lumped Parameter Circuit Model

Behnam M. Mosammam, Babak Fahimi, Poras T. Balsara, Milad Bahrami Fard
article en

Abstract

This paper introduces a dynamic lumped circuit model for a Double-Stator Switched Reluctance Motor (DSSRM). The inductance dependency on rotor position is modeled using a truncated Fourier series, with the coefficients derived from measurements taken at aligned, unaligned, and midway rotor positions. This approach allows for precise modeling of the inductance variation with rotor position, enhancing the accuracy and performance of the DSSRM simulation, and the key advantage of the proposed model is its ability to predict the entire dynamic performance of the drive system while requiring minimal measurements. The model’s accuracy is validated by comparing its results with those obtained from Finite Element Analysis, demonstrating the reliability and effectiveness of the proposed modeling technique.

The University of Texas at Dallas (US)
Affordable and clean energy
Openalex Percentile: Top 74%
Electric Motor Design and Analysis
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