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Genetic-Algorithm-Based Optimization of Dual Stator PM Vernier Machine with Spoke and HTS Bulks

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Abstract

Permanent magnet vernier machine (PMVM) has low speed and high torque characteristics. However, conventional single-rotor single-stator PMVM cannot meet the requirements of a high power factor. In this paper, a dual stator permanent magnet vernier machine (DS-PMVM) with spoke array and high-temperature superconducting (HTS) bulks is proposed to improve the power factor of the PMVM. This model adds HTS bulks between the modulation teeth to effectively suppress the magnetic field penetration, thereby reducing the magnetic flux leakage. A parametric model of DS-PMVM with 16 pole pairs PM rotor and 2 pole pairs armature field is established., and some key parameters are optimized by the genetic algorithm. The electromagnetic performance of the proposed DS-PMVM is verified by comparing with the conventional machine through the finite element simulation, which shows that the torque density of the proposed machine can reach 47.4kN m/m3 and the power factor of 0.946 under the same conditions.

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Acknowledgements

This work was supported by the National Engineering Laboratory of Energy-saving Motor & Control Technique (KFKT202213).

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Authors and Affiliations

  1. College of Electrical Engineering and New Energy, Hubei Provincial Engineering Technology Research Center for Microgrid, China Three Gorges University, Yichang, China

    Libing **g, Zhangtao Kui, Kun Yang, Zeyu Min, Zhan Su & Youzhong Wang

  2. National Engineering Laboratory of Energy-Saving Motor & Control, Hefei, China

    Libing **g

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  1. Libing **g
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  2. Zhangtao Kui
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Correspondence to Libing **g.

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**g, L., Kui, Z., Yang, K. et al. Genetic-Algorithm-Based Optimization of Dual Stator PM Vernier Machine with Spoke and HTS Bulks. J. Electr. Eng. Technol. 18, 3743–3750 (2023). https://doi.org/10.1007/s42835-023-01558-0

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