Abstract
As the theory of the air-gap field modulation, this paper calculates and analyzes the radial electromagnetic force of the motor from the perspective of the three elements. Thus the main sources of FSPM motors’ vibration are found out. In this paper, a FSPM motor with 10-pole 12-slot is studied, and the rotor structure is optimized to weaken the radial force harmonics, which have great influence on electromagnetic vibration. The response surface curve CCD method is introduced to regress the sample data generated by the FEM, and then the radial force harmonics are to minimize and the electromagnetic torque is to maximize. Finally, the multi-objective optimization of the fitting model was carried out by using NSGA-II algorithm with the reduction of torque less than 5% as the constraint function, and the structure parameters of the optimal rotor were obtained. The simulation results show that with ensuring the electromagnetic performance, the optimized motor vibration can effectively be reduced.
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References
Cheng M, Gan Z, Wei H (2014) Overview of stator permanent magnet brushless machine systems and their key technologies. Proc CSEE 000(029):5204–5220. (in Chinese)
Du Y, Xiao F, Hua W et al (2016) Comparison of flux-switching PM motors with different winding configurations using magnetic gearing principle. IEEE Trans Magn 52(5):1–8
Shi Y, Jian L, Wei J et al (2016) A new perspective on the operating principle of flux-switching permanent-magnet machines. IEEE Trans Indus Electron 63(3):1425–1437
Zhu X, Hua W, Wu Z et al (2018) Analytical approach for cogging torque reduction in flux-switching permanent magnet machines based on magnetomotive force-permeance model. IEEE Trans Indus Electron 65(3):1965–1979
Zhao W, Pan X, Ji J et al (2020) Analysis of PM eddy current loss in four-phase fault-tolerant flux-switching permanent-magnet machines by air-gap magnetic field modulation theory. IEEE Trans Indus Electron 67(7):5369–5378
Xiao W, Wang Y, Geng L et al (2018) Comparative research of torque impulse balance control strategy under single-phase open circuit condition and multi-phase open circuit conditions. Proc CSEE 38(16):4873–4885. (in Chinese)
Chen Y, Zhou Y, Zhang J et al (2021) Rotor spatial position estimation and sensorless composite control of bearingless flux-switching permanent magnet motors 1–11. (in Chinese)
Cao L, Chau KT, Lee CHT et al (2021) A double-rotor flux-switching permanent-magnet motor for electric vehicles with magnetic differential. IEEE Trans Indus Electron 68(2):1004–1015
Li X, Shen F, Yu S et al (2021) Flux-regulation principle and performance analysis of a novel axial partitioned stator hybrid-excitation flux-switching machine using parallel magnetic circuit. IEEE Trans Indus Electron 68(8):6560–6573
Gan C, Wu J, Shen M et al (2018) Investigation of short permanent magnet and stator flux bridge effects on cogging torque mitigation in FSPM motors. IEEE Trans Energy Convers 33(2):845–855
Zhu X, Shu Z, Quan L et al (2016) Multi-objective optimization of an outer-rotor V-shaped permanent magnet flux switching motor based on multi-level design method. IEEE Trans Magn 52(10):1–8
Mao Y, Liu G, Zhao W et al (2018) Low-noise design of fault-tolerant flux-switching permanent-magnet machines. IET Electr Power Appl 12(6):747–756
Wang S, Li H (2020) Reduction of electromagnetic vibration and noise in permanent magnet motor for EVs by optimizing design of rotor based on GPR-PSO model. J Electr Eng Technol 15(3):1231–12430
Li X, Liu C, Mei B et al (2018) Vibration and noise sources analysis of IPMSM for electric vehicles in a wide-speed range 38(17):5219–5227. (in Chinese)
Jordan H (1950) Electric motor silencer-formation and elimination of the noise in the electric motors. Germany, W. Girardet
Tu H, Xin Y (2015) Analysis and experiments of buckling of precision products for automotive based on the response-surface methodology 34(4):565–569. (in Chinese)
Horn J, Nafpliotis N, Goldberg DE (1994) A niched Pareto genetic algorithm for multi-objective optimization. In: The first IEEE conference on evolutionary computation. Piscataway, NJ, pp 82–87
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Wang, S. et al. (2024). Optimization of Electromagnetic Vibration for FSPM Motor by NSGA-II Algorithm. In: Dong, X., Cai, L. (eds) The Proceedings of 2023 4th International Symposium on Insulation and Discharge Computation for Power Equipment (IDCOMPU2023). IDCOMPU 2023. Lecture Notes in Electrical Engineering, vol 1100. Springer, Singapore. https://doi.org/10.1007/978-981-99-7393-4_19
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DOI: https://doi.org/10.1007/978-981-99-7393-4_19
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