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基于田口法和MOPSO算法的PMSM转矩优化设计

Torque Optimization Design of Permanent Magnet Synchronous Motor Based on Taguchi Method and MOPSO
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摘要 针对永磁同步电动机的电磁转矩要求,即起动转矩倍数较大、转矩密度较高以及输出稳定性较强的要求,以一款36槽8极永磁同步电动机为例,采用Taguchi方法,以起动转矩幅值、电磁转矩稳定值以及转矩波动系数为目标变量,以磁钢厚度、极弧系数、磁钢偏心距、定子槽口宽度为参数,通过有限元仿真,得到每个搭配组合的转矩目标变量。为了得到最优的电磁转矩曲线,利用最小二乘法对Taguchi法得到的结果进行拟合,利用多目标粒子群算法(MOPSO)对目标变量进行寻优,得到最优解,并利用有限元软件仿真验证。结果表明,采用Taguchi法和MOPSO算法对永磁同步电动机的电磁转矩进行优化具有可行性以及较高的准确性。 For the requirements of large start torque multiples,high torque density and strong stability,torque optimization was studied taking a 36 slot 8 poles permanent magnet synchronous motor an example.Taguchi method was used with starting torque amplitude,the electromagnetic torque amplitude stable torque value and torque ripple coefficient as the target variables,with magnetic steel thickness,the coefficient of arc,magnetic steel eccentricity,the stator slot width as the parameters,target variables of torque in different combinations were got under the finite element simulation.In order to get the optimal electromagnetic torque curve,the results of Taguchi method were fitted by least square method,multi-objective particle swarm optimization(MOPSO)algorithm was used to get the optimal solution,which was verified by the finite element software.The results show that,the optimization of electromagnetic torque based on Taguchi method and MOPSO algorithm is feasible and accurate.
作者 曹敏 杨国龙 CAO Min;YANG Guo-long(Cunjin College,Guangdong Ocean University,Zhanjiang 524000,China;Zhanjiang Preschool Education College,Zhanjiang 524000,China)
出处 《微特电机》 2021年第3期26-29,共4页 Small & Special Electrical Machines
关键词 电磁转矩 田口法 多目标粒子群优化算法 永磁同步电动机 electromagnetic torque taguchi method multi-objective particle swarm optimization(MOPSO)algo-rithm permanent magnet synchronous motor(PMSM)
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