Torque Profile Optimization of New Hybrid Reluctance Motor Using DOE Response Surface Methodology

Control parameters in the design of reluctance motors have a significant impact on motor performance and torque. Therefore, obtaining an optimal combination of these parameters can be crucial in achieving high torque performance. In this paper, a hybrid reluctance motor has been designed with magnets placed in the rotor part. Using the Response Surface Methodology (RSM) optimization method, the control parameters have been optimized to achieve maximum average torque and minimum torque ripple. Finally, the optimized case resulting from the optimization process is compared with the initial case, demonstrating performance improvements.

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Publication Details

Published
2024-12-24
DOI
https://doi.org/10.1109/icemd64575.2024.10963441
Primary Topic
Electric Motor Design and Analysis
Type
article
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article

Torque Profile Optimization of New Hybrid Reluctance Motor Using DOE Response Surface Methodology

Ali Harooni, Aghil Ghaheri, Ebrahim Afjei, Mohammad-Ali Mahmoudpour et al.
Electric Motor Design and Analysis
article

Torque Profile Optimization of New Hybrid Reluctance Motor Using DOE Response Surface Methodology

Ali Harooni, Aghil Ghaheri, Ebrahim Afjei, Mohammad-Ali Mahmoudpour, Mojdeh Hossein Nejadi
article en

Abstract

Control parameters in the design of reluctance motors have a significant impact on motor performance and torque. Therefore, obtaining an optimal combination of these parameters can be crucial in achieving high torque performance. In this paper, a hybrid reluctance motor has been designed with magnets placed in the rotor part. Using the Response Surface Methodology (RSM) optimization method, the control parameters have been optimized to achieve maximum average torque and minimum torque ripple. Finally, the optimized case resulting from the optimization process is compared with the initial case, demonstrating performance improvements.

Shahid Beheshti University (IR)
Affordable and clean energy
Openalex Percentile: Top 73%
Electric Motor Design and Analysis
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