Advanced Modeling of a 12/10 Variable Flux Reluctance Machine Using Winding and Air-Gap Permeance Functions Considering Saturation and Skew Effects

This article proposes an advanced analytical model for a 12-slot, 10-pole variable flux reluctance machine (VFRM) based on field and armature winding functions, as well as stator and rotor permeances. The model calculates the magnetomotive force (MMF) drop factor by solving a simple magnetic circuit involving discrete permeances to account for the nonlinear magnetic behavior of the core material. The discrete air-gap permeance per stator tooth is determined by integrating the overall air-gap magnetic permeance function for each tooth. In addition, the model incorporates the effect of rotor skewing on the back electromotive force (back EMF) and electromagnetic torque output, which is critical for minimizing torque ripple and cogging torque in motor design. Key performance parameters, such as torque, torque ripple, cogging torque, and back EMF, are derived using the proposed model. The validity of the analytical model is confirmed through finite element analysis (FEA) and experimental measurements of back EMF and torque, demonstrating its accuracy and effectiveness in predicting motor performance.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2025-03-05
DOI
https://doi.org/10.1109/tte.2025.3548479
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
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article

Advanced Modeling of a 12/10 Variable Flux Reluctance Machine Using Winding and Air-Gap Permeance Functions Considering Saturation and Skew Effects

IEEE Transactions on Transportation Electrification
Genetic Mapping and Diversity in Plants and Animals
article

Advanced Modeling of a 12/10 Variable Flux Reluctance Machine Using Winding and Air-Gap Permeance Functions Considering Saturation and Skew Effects

article en

Abstract

This article proposes an advanced analytical model for a 12-slot, 10-pole variable flux reluctance machine (VFRM) based on field and armature winding functions, as well as stator and rotor permeances. The model calculates the magnetomotive force (MMF) drop factor by solving a simple magnetic circuit involving discrete permeances to account for the nonlinear magnetic behavior of the core material. The discrete air-gap permeance per stator tooth is determined by integrating the overall air-gap magnetic permeance function for each tooth. In addition, the model incorporates the effect of rotor skewing on the back electromotive force (back EMF) and electromagnetic torque output, which is critical for minimizing torque ripple and cogging torque in motor design. Key performance parameters, such as torque, torque ripple, cogging torque, and back EMF, are derived using the proposed model. The validity of the analytical model is confirmed through finite element analysis (FEA) and experimental measurements of back EMF and torque, demonstrating its accuracy and effectiveness in predicting motor performance.

IEEE Transactions on Transportation ElectrificationVol. 11(4)
Ege University (TR)
Affordable and clean energy
Openalex Percentile: Top 44%
Genetic Mapping and Diversity in Plants and Animals
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Advanced Modeling of a 12/10 Variable Flux Reluctance Machine Using Winding and Air-Gap Permeance Functions Considering Saturation and Skew Effects · IEEE Transactions on Transportation Electrification (2025) | TGRS Research Map | TGRS