基于SVM的双辅助永磁体Halbach阵列潜油永磁同步电机优化设计

Optimal design of submersible permanent magnet synchronous motor with double-assisted permanent magnet Halbach array based on SVM

气隙磁通密度的谐波和基波幅值直接影响潜油永磁同步电机的性能,为了对潜油永磁同步电机的气隙磁密进行分析和优化,设计一种双辅助永磁体Halbch阵列结构表贴式潜油永磁同步电机并对该结构进行优化。该电机的永磁体采用Halbach充磁方式,其中主磁体采用径向充磁方式,双辅助磁体分别采用不同方向的平行充磁方式;双辅助磁体与主磁体不等厚且不等宽。为了降低计算成本,提高计算效率,采用支持向量机的非线性回归模型对优化目标拟合,通过有限元方法对优化前后的潜油永磁同步电机进行对比。结果表明,双辅助永磁体Halbach结构能有效降低气隙磁通密度的谐波,且可以提高其基波幅值。

The harmonics and fundamental amplitude of air gap flux density will directly affect the performance of the oil-submerged permanent magnet synchronous motor.To analyze and optimize the air gap magnetic density of this motor,a surface oil-submerged permanent magnet synchronous motor with double auxiliary permanent magnet Halbach array structures was designed and optimized.The permanent magnets of the motor was magnetized by the Halbach method.The magnetizing direction of the main magnet is the radial magnetizing,and the magnetizing directions of the double auxiliary magnets are the parallel magnetizing in different directions.The thickness and width for the double auxiliary magnets and the main magnets are not equal.In order to reduce the cost of calculation and improve the computational efficiency,the nonlinear regression model of support vector machine was used to fit the optimization objectives,and multi-objective optimization was carried out.The finite element method was used to compare the oil-submerged permanent magnet synchronous motor before and after optimization.The results show that the Halbach structure of double auxiliary permanent magnets can effectively reduce the harmonics of air gap magnetic flux density,and can also improve its fundamental amplitude.