基于遗传算法的高速电主轴永磁电机齿槽转矩优化

Optimization Design of High Speed Spindle PM Motor Based on Genetic Algorithms

为了提供高速电主轴的功率密度及动态性能,采用永磁电机方案。然而由于永磁体与有槽铁心相互作用,产生齿槽转矩,引起振动和噪声。在永磁电机结构中,影响齿槽转矩大小的有多种因素,本文利用遗传算法对一台高速电主轴永磁电机的永磁体的最大厚度,极弧系数和磁极中心偏移量进行综合优化,得出减小齿槽转矩的优化方案。结果表明,通过遗传算法优化得到的电机结构方案与原方案相比,显著削弱了齿槽转矩。

In order to provide power density and dynamic performance of high speed motorized spindle,permanent magnet motor was adopted.However,the interaction between the permanent magnet and slotted armature lamination produces cogging torque,which may cause noise and vibration.It has many parameters to affect the size of the cogging in the structure of permanent magnet motor.Genetic algorithm was used in this paper,which optimized the permanent magnet thickness,pole arc coefficient and pole center offsetofthe high speed spindle PM motor.The results show that the cogging torque is significantly reduced compared with the original scheme.