基于改进蝙蝠算法的齿槽转矩优化

Optimization of Cogging Torque Based on Improved Bat Algorithm

本研究从降低表贴式永磁电机的齿槽转矩出发,以24槽4极电机为例,基于能量法对齿槽转矩的产生机理进行解析分析,确定以极弧系数、气隙长度、磁极偏心距、永磁体厚度、槽开口宽度为优化参数组合,通过田口法从上述参数中筛选出对优化目标影响比重较大的参数并通过响应面拟合出相关的数学模型,应用具有Lévy飞行特征的蝙蝠算法求取该数学模型的最小值。利用有限元软件对最优解的电机模型进行仿真实验,结果表明:电机的齿槽转矩降低了82.16%,效率提高了1.6%,转矩脉动降低了8.2%。

Taking the 24-slot 4-pole motor as an example to reduce the cogging torque of the surface-mounted permanent magnet motor,this research firstly analysed the mechanism of cogging torque generation based on the energy method,determined the combination of pole arc coefficient,air gap length,pole eccentricity distance,permanent magnet thickness and slot opening width as the optimisation parameters,then filtered out the parameters with greater influence on the optimisation target from the above parameters by Taguchi method and fited the relevant mathematical model by response surface,and finally the bat algorithm with Lévy's flight characteristics was applied to find the minimum value of this mathematical model.Simulation experiments using finite element software on the motor modelwith optimal solution show that the motor's cogging torque is reduced by 82.16%,efficiency is increased by 1.6%and torque pulsation is reduced by 8.2%.