Deep-investigated analytical modeling of a surface permanent magnet vernier motor
Permanent magnet vernier motors possess the advantage of high torque density for high performance applications. However, the low power factor challenge makes it unacceptable for direct-drive applications. A lack of accurate model based on the motor sizing law raises difficulties for machine designer...
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sg-ntu-dr.10356-1601642022-07-15T08:29:33Z Deep-investigated analytical modeling of a surface permanent magnet vernier motor Zhu, Jingwei Zuo, Yuefei Chen, Hao Chen, Jiahao Lee, Christopher Ho Tin School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Analytical Modeling Finite-Element Analysis Permanent magnet vernier motors possess the advantage of high torque density for high performance applications. However, the low power factor challenge makes it unacceptable for direct-drive applications. A lack of accurate model based on the motor sizing law raises difficulties for machine designers to further conduct research on the performance metrics. This paper presents a deep investigation into the analytical model for surface permanent magnet vernier motors (SPMVMs) to identify an accurate approach to obtain the performance metrics, including torque and power factor. The modeling technique is developed based on conformal mapping with both radial and tangential permeability functions calculated to obtain the magnetic loading considering leakage flux. Then, slotting effect on both air gap flux density and winding function is analyzed to achieve a precise formula for torque and power factor computation. The new modeling technique is applied to integral-slot SPMVMs with various parameters on high power factor and torque density design. Finally, an SPMVM with high torque density and power factor is fabricated to verify the analytical model at the power rating of 0.8 kw and the speed of 500 r/min. The experimental results shows good consistence with the analytical model. National Research Foundation (NRF) Submitted/Accepted version This work was supported by National Research Foundation (NRF) Singapore under its NRF Fellowship Grant NRF-NRFF12-2020-0003. 2022-07-15T08:29:33Z 2022-07-15T08:29:33Z 2021 Journal Article Zhu, J., Zuo, Y., Chen, H., Chen, J. & Lee, C. H. T. (2021). Deep-investigated analytical modeling of a surface permanent magnet vernier motor. IEEE Transactions On Industrial Electronics, 69(12), 12336-12347. https://dx.doi.org/10.1109/TIE.2021.3134075 0278-0046 https://hdl.handle.net/10356/160164 10.1109/TIE.2021.3134075 2-s2.0-85121822203 12 69 12336 12347 en NRF-NRFF12-2020-0003 IEEE Transactions on Industrial Electronics © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TIE.2021.3134075. application/pdf |
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Engineering::Electrical and electronic engineering Analytical Modeling Finite-Element Analysis Zhu, Jingwei Zuo, Yuefei Chen, Hao Chen, Jiahao Lee, Christopher Ho Tin Deep-investigated analytical modeling of a surface permanent magnet vernier motor |
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Permanent magnet vernier motors possess the advantage of high torque density for high performance applications. However, the low power factor challenge makes it unacceptable for direct-drive applications. A lack of accurate model based on the motor sizing law raises difficulties for machine designers to further conduct research on the performance metrics. This paper presents a deep investigation into the analytical model for surface permanent magnet vernier motors (SPMVMs) to identify an accurate approach to obtain the performance metrics, including torque and power factor. The modeling technique is developed based on conformal mapping with both radial and tangential permeability functions calculated to obtain the magnetic loading considering leakage flux. Then, slotting effect on both air gap flux density and winding function is analyzed to achieve a precise formula for torque and power factor computation. The new modeling technique is applied to integral-slot SPMVMs with various parameters on high power factor and torque density design. Finally, an SPMVM with high torque density and power factor is fabricated to verify the analytical model at the power rating of 0.8 kw and the speed of 500 r/min. The experimental results shows good consistence with the analytical model. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Zhu, Jingwei Zuo, Yuefei Chen, Hao Chen, Jiahao Lee, Christopher Ho Tin |
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Article |
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Zhu, Jingwei Zuo, Yuefei Chen, Hao Chen, Jiahao Lee, Christopher Ho Tin |
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Zhu, Jingwei |
title |
Deep-investigated analytical modeling of a surface permanent magnet vernier motor |
title_short |
Deep-investigated analytical modeling of a surface permanent magnet vernier motor |
title_full |
Deep-investigated analytical modeling of a surface permanent magnet vernier motor |
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Deep-investigated analytical modeling of a surface permanent magnet vernier motor |
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Deep-investigated analytical modeling of a surface permanent magnet vernier motor |
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deep-investigated analytical modeling of a surface permanent magnet vernier motor |
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2022 |
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https://hdl.handle.net/10356/160164 |
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