基于Taguchi-PSO的永磁同步发电机空载气隙磁密波形优化

以某款增程器用48 V永磁同步发电机(PMSG)的空载气隙磁密波形畸变率为优化目标,永磁体极弧系数、气隙长度、磁钢厚度、磁极偏心距为变量,磁钢质量和电机效率为评价参考指标,利用RMxprt参数化扫描功能和Taguchi方法建立正交试验矩阵,ANSYS Maxwell二维有限元仿真分析得到数据样本。通过傅里叶模型拟合样本数据,构造适应度函数。最后,采用粒子群算法(PSO)进行寻优,得到了一组最优的磁钢参数并进行有限元验证。结果表明,采用Taguchi-PSO方法,使空载气隙磁密波形得到了较大改善,并减少了磁钢用量。

Optimization of No-Load Air Gap Flux Density Waveform of Permanent Magnet Synchronous Generator Based on Taguchi-PSO

Taking the no-load air gap flux density waveform distortion rate of a 48 V permanent magnet synchronous generator (PMSG) for a certain range extender as the optimization object, using the permanent magnet pole arc coefficient, air gap length, magnetic steel thickness, and magnetic pole eccentricity as variables, and the magnetic steel quality and the generator efficiency as the evaluation reference indices, the orthogonal experiment matrix is established by the RMxprt parameterized scanning function and the Taguchi method. The data samples are obtained by the ANSYS Maxwell two-dimensional finite element simulation analysis. Then, the sample data are fitted by the Fourier model to construct the fitness function. Finally, particle swarm optimization (PSO) is used for optimizaiton, and a set of optimal magnetic steel parameters is obtained and verified by finite element method. The results show that using the Taguchi-PSO method, the no-load air gap flux density waveform is greatly improved and the mass of magnetic steel is reduced.