基于复合算法的内置式永磁同步电机的优化设计

内置式永磁同步电机具有输出转矩大，过载能力强,功率密度高等优点，广泛的应用于电动汽车驱动领域。由于内置式永磁同步电机存在齿槽转矩和磁阻转矩，会造成转矩脉动较大，对电机造成不良影响。选择以48槽，8极内置式永磁同步电机为例，首先选择转子的关键结构参数作为优化参数，并以增大平均转矩，降低转矩脉动，减小齿槽转矩作为优化目标。通过田口算法从众多的结构参数中合理选出对优化目标影响较大的优化参数，再采用响应面拟合优化目标曲线，最后采用遗传算法对其优化，使用有限元仿真软件验证其有效性，实现电机的多目标优化。

Optimization Design of InteriorPermanent Magnet S ynchronous Motor Based on Compound Algorithm

Interiorpermanent magnet synchronousmotor，which has the advantages of large output torque ，great overload capacity， high power density and so on ，is widely used in the electric vehicle drive.Due to the presence of cogging torque and reluctance torque，the torque ripple of Interior permanent magnet synchronous motor is relatively large，affecting the performance of Interiorpermanent magnet synchronousmotor. Firstly ，choosing a 48-slot，8-pole interior permanent magnet synchronous motor as an example，to obtain larger average torque、smaller ripple torque and cogging torque，the key structural parameters of the rotor are selected as the optimization factors. The Taguchi algorithm was used to reasonably select the optimization parameters that have a great influence on the optimization target from a large number of structural parameters，then the response surface is used fit the optimization target curve.Finally，the genetic algorithm is used to optimize itand the effectiveness of the finite element simulation software is used to verify the multi-objective optimization of the motor.