Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy
In the optimization of high-speed permanent magnet motors (HSPMMs), electromagnetic characteristics, rotor stress, rotor dynamics, and temperature characteristics must all be considered simultaneously, and there are numerous optimization parameters for both the stator and rotor. These factors pose s...
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MDPI AG
2024-09-01
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| author | Honglin Yan Guanghui Du Wentao Gao Yanhong Chen Cunlong Cui Kai Xu |
| author_facet | Honglin Yan Guanghui Du Wentao Gao Yanhong Chen Cunlong Cui Kai Xu |
| author_sort | Honglin Yan |
| collection | DOAJ |
| description | In the optimization of high-speed permanent magnet motors (HSPMMs), electromagnetic characteristics, rotor stress, rotor dynamics, and temperature characteristics must all be considered simultaneously, and there are numerous optimization parameters for both the stator and rotor. These factors pose significant challenges to the multiphysics optimization of HSPMMs. Therefore, this paper presents a multiphysics optimization process for the HSPMM of 60 kW 30,000 rpm by combining subspace strategy and sequential strategy to mitigate the issues of high training volume and mutual coupling. Ten optimization parameters of stator and rotor are determined firstly. Then, using finite element analysis of rotor stress and rotor dynamics, the range of values for critical parameters of the rotor is established. Next, in the electromagnetic optimization, the process is divided into rotor parameter subspace and stator parameter subspace according to the subspace optimization strategy. The temperature field is also checked based on the optimization results. Finally, a prototype is manufactured and the comprehensive performance is tested to validate the multiphysics optimization process. |
| format | Article |
| id | doaj-art-08374945972f492ebe0fc5200fbc160e |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-08374945972f492ebe0fc5200fbc160e2025-08-20T01:55:58ZengMDPI AGApplied Sciences2076-34172024-09-011418826710.3390/app14188267Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential StrategyHonglin Yan0Guanghui Du1Wentao Gao2Yanhong Chen3Cunlong Cui4Kai Xu5School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007, AustraliaIn the optimization of high-speed permanent magnet motors (HSPMMs), electromagnetic characteristics, rotor stress, rotor dynamics, and temperature characteristics must all be considered simultaneously, and there are numerous optimization parameters for both the stator and rotor. These factors pose significant challenges to the multiphysics optimization of HSPMMs. Therefore, this paper presents a multiphysics optimization process for the HSPMM of 60 kW 30,000 rpm by combining subspace strategy and sequential strategy to mitigate the issues of high training volume and mutual coupling. Ten optimization parameters of stator and rotor are determined firstly. Then, using finite element analysis of rotor stress and rotor dynamics, the range of values for critical parameters of the rotor is established. Next, in the electromagnetic optimization, the process is divided into rotor parameter subspace and stator parameter subspace according to the subspace optimization strategy. The temperature field is also checked based on the optimization results. Finally, a prototype is manufactured and the comprehensive performance is tested to validate the multiphysics optimization process.https://www.mdpi.com/2076-3417/14/18/8267high-speed permanent magnet motormultiphysics optimizationsequential and subspace optimization strategy |
| spellingShingle | Honglin Yan Guanghui Du Wentao Gao Yanhong Chen Cunlong Cui Kai Xu Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy Applied Sciences high-speed permanent magnet motor multiphysics optimization sequential and subspace optimization strategy |
| title | Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy |
| title_full | Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy |
| title_fullStr | Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy |
| title_full_unstemmed | Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy |
| title_short | Multiphysics Optimization of a High-Speed Permanent Magnet Motor Based on Subspace and Sequential Strategy |
| title_sort | multiphysics optimization of a high speed permanent magnet motor based on subspace and sequential strategy |
| topic | high-speed permanent magnet motor multiphysics optimization sequential and subspace optimization strategy |
| url | https://www.mdpi.com/2076-3417/14/18/8267 |
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