基于遗传算法的外转子PMSM齿槽转矩优化

永磁同步电动机具有较好的动态性能以及较高的功率密度,但由于永磁体与铁心之间会发生相互作用而产生齿槽转矩,导致永磁同步电机的输出转矩发生波动,因此永磁同步电机的齿槽转矩的优化显得极为重要。为了削弱齿槽转矩,使用解析法分析并选择了一系列与齿槽转矩密切相关的参数,再采用了一种改进的遗传算法结合有限元法对永磁同步电动机的齿槽转矩进行优化。优化结果表明,与原设计相比,使用该算法优化能明显削弱永磁同步电机的齿槽转矩,且不会对电机的输出转矩产生过大的影响。

Optimization of Cogging Torque of External Rotor PMSM Based on Genetic Algorithm

PMSM has better dynamic response and higher power density. Due to the cogging torque,which is produced by the interreaction of permanent magnet and iron core,the output torque will fluctuate. The optimization of the cogging torque is extremely important. In order to reduce cogging torque,several parameters,which closely related to cogging torque,were selected and analyzed by analytical method. An improved genetic algorithm combined with finite element method was used to optimize cogging torque of PMSM. The results showed that compared with the original design,the cogging torque was greatly reduced by the algorithm and did not excessively influence the output torque.