戴睿, 张岳, 王惠军, 张凤阁, 张何. 基于Kriging模型的双十二相高速永磁发电机优化设计[J]. 中国电机工程学报, 2022, 42(2): 818-826. DOI: 10.13334/j.0258-8013.pcsee.201980
引用本文: 戴睿, 张岳, 王惠军, 张凤阁, 张何. 基于Kriging模型的双十二相高速永磁发电机优化设计[J]. 中国电机工程学报, 2022, 42(2): 818-826. DOI: 10.13334/j.0258-8013.pcsee.201980
DAI Rui, ZHANG Yue, WANG Huijun, ZHANG Fengge, ZHANG He. Optimal Design of Dual 12-phase High Speed Permanent Magnet Rectified Generator Based on Kriging Model[J]. Proceedings of the CSEE, 2022, 42(2): 818-826. DOI: 10.13334/j.0258-8013.pcsee.201980
Citation: DAI Rui, ZHANG Yue, WANG Huijun, ZHANG Fengge, ZHANG He. Optimal Design of Dual 12-phase High Speed Permanent Magnet Rectified Generator Based on Kriging Model[J]. Proceedings of the CSEE, 2022, 42(2): 818-826. DOI: 10.13334/j.0258-8013.pcsee.201980

基于Kriging模型的双十二相高速永磁发电机优化设计

Optimal Design of Dual 12-phase High Speed Permanent Magnet Rectified Generator Based on Kriging Model

  • 摘要: 由于具有供电品质高和容错性能好等优点,多相整流发电系统已逐步取代传统直流发电机供电系统和三相整流发电机供电系统。针对双十二相高速永磁发电机(high-speed permanent magnet rectified generator, HSPMRG) 进行优化设计,通过样本点采集(design of experiment, DOE)对电机8个结构参数进行灵敏度分析,确定4个结构参数作为电机的优化变量。为了降低优化过程中有限元多次迭代的计算时间同时提高电机的优化效率,提出一种基于Kriging模型的双十二相高速永磁发电机优化方法。最后,通过实验验证所提出的基于Kriging模型的双十二相高速永磁发电机优化设计方法的正确性。

     

    Abstract: Due to the advantages of high power supply quality and fault tolerance, the multi-phase rectifier generator DC power supply system has gradually replaced the traditional DC power supply method of DC generator power supply and three-phase rectifier generator power supply. In this paper, the dual 12-phase high-speed permanent magnet rectified generator(HSPMRG) was optimized. First, the sensitivity analysis of the 8 structural parameters of the machine was carried out through the design of experiment(DOE), and the 4 structural parameters were determined as the optimized variables of the machine. Then, in order to reduce the calculation time of multiple iterations of the finite element method(FEM) in the optimization process and improve the optimization efficiency, an optimization method based on the Kriging model was proposed to improve the optimization design efficiency in this paper. Finally, the feasibility of optimization method based on approximate model proposed in this paper was verified through experiments.

     

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