基于气隙磁密波形优化的永磁同步电机结构

Structure of Permanent Magnet Synchronous Motor Based on Optimization of Air-Gap Flux Density Waveform

为使永磁同步电机空载气隙磁密波形具有良好的正弦性,从其影响因素出发,对电机极弧系数、偏心距、气隙长度及磁极厚度进行了优化。建立了电机有限元仿真模型,对得到的气隙径向磁密波形进行谐波分析求取其正弦畸变率。利用正交试验得到算法所需样本空间,通过支持向量机算法求取目标函数,最后通过微粒群算法对其进行寻优,得到了一组优化后参数。仿真结果表明,优化后的电机空载气隙磁密波形得到了明显改善,验证了优化算法的可行性及准确性。

To make the no-load air-gap flux density waveform of permanent magnet synchronous motor be sinusoidal, starting from influencing factors, the pole-arc coefficient, eccentricity, length of air gap and thickness of pole were optimized. The finite element simulation model of the motor was built, the harmonic of air-gap flux density waveform was analyzed to get its sinusoidal distortion rate. The sample space needed was acquired by the orthogonal tests for the algorithm, then the object function was built based on the support vector machine algorithm. At last, the parameters were optimized by particle swarm optimization algorithm and a set of optimized parameters were got. The simulating results show that the optimized no-load air-gap flux density waveform is significantly improved. The feasibility and accuracy of the optimization algorithm were verified.