The effect of stator-rotor slot combinations on vibrations induced by tangential electromagnetic forces in HVLSPMSM
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Hongbo Qiu
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Si Chen
Abstract
Line-starting permanent magnet synchronous motor (LSPMSM) has the advantage of induction motor and permanent magnet motor. The double-slotted stator-rotor structure can lead to the complexity of the LSPMSM air-gap magnetic field. This further leads to the variation of tangential electromagnetic force (TEMF) and cogging torque of the LSPMSM, which affects the vibration characteristics of the motor. In this paper, the effect of stator-rotor slot combinations on the TEMF of High-voltage line-starting permanent magnet synchronous motor (HVLSPMSM) is analyzed by using a 10 kV, 630 kW HVLSPMSM as an example. Firstly, a mathematical model of the air-gap magnetic field considering double slots is established by using the conformal transformation, and the harmonic distribution characteristics of the radial and tangential air-gap magnetic flux density under different stator-rotor slot combinations are obtained. Then, the expression of the TEMF density is constructed based on the Maxwell tensor method, and the conversion relationship between the TEMF density and the local tangential force is analyzed. Further, the influence of cogging torque amplitude and frequency on different stator-rotor slot combinations is derived by analyzing the TEMF density. Finally, the electromagnetic-mechanical coupling model of the HVLSPMSM is established, and the influence of TEMF on the vibration spectrum of the motor under different stator-rotor slot combinations is resolved by numerical calculations. This paper provides a reliable theoretical guide to improve the performance of HVLSPMS.
Funding source: University Science and Technology Innovation Talent Support Program of Henan province under Grant
Award Identifier / Grant number: 23HASTIT026
Funding source: Science and technology project of Henan Province under Grant
Award Identifier / Grant number: 232102220080, 222102320074, 242102221002
Funding source: Excellent Young Scholars Project of Henan Province under Grant
Award Identifier / Grant number: 232300421070
Funding source: National Natural Science Foundation of China under Grant
Award Identifier / Grant number: 52477066, 52177063
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Research ethics: Not applicable.
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Informed consent: Informed consent was obtained from all individuals included in this study, or their legal guardians or wards.
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Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interests: All other authors state no conflict of interest.
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Research funding: This work was supported in part by the National Natural Science Foundation of China under Grant 52477066, 52177063, and in part by Excellent Young Scholars Project of Henan Province under Grant 232300421070, and in part by the University Science and Technology Innovation Talent Support Program of Henan province under Grant 23HASTIT026, and in part by the Science and technology project of Henan Province under Grant 232102220080, 222102320074, 242102221002.
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Data availability: Not applicable.
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