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Design and optimization of cogging torque in stator permanent magnet axial-field flux-switched hybrid excitation motor based on RSM-CS algorithm

机译:基于RSM-CS算法的定子永磁轴向 - 场磁通开关混合电动机混合动力电动机的设计与优化

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摘要

The cogging torque in stator permanent magnets axial-field flux-switched hybrid excitation motor (SPMAFHEM) is larger than the traditional PM machine because of the flux focusing. In order to reduce cogging torque and improve the performance of the motor, the analytic expression of the SPMAFHEM cogging torque is deduced by energy perturbation method and the influence of the structure parameters on cogging torque is researched. Based on response surface methodology (RSM) and FEM, the mathematical model of cogging torque response surface between stator slot arc width, rotor tooth inclination angle, and shape coefficient of permanent magnet is obtained, then the cuckoo search algorithm (CS) is used to search the optimum solution. The accuracy is examined by 3D FEM and experiments using prototype experimental platform. The results show that the cogging torque has been reduced by 82.5%.
机译:定子永磁体中的齿槽扭矩轴向场磁通开关混合动力激励电机(SPMAFHEM)大于传统PM机,因为磁通量聚焦。 为了减少齿槽扭矩并提高电动机的性能,通过能量扰动方法推断出SPMAFHEM齿槽扭矩的分析表达,并且研究了结构参数对齿槽扭矩的影响。 基于响应面方法(RSM)和FEM,获得定子槽弧宽度,转子齿倾角和永磁体形状系数之间的齿槽扭矩响应面的数学模型,然后杜鹃搜索算法(CS)用于 搜索最佳解决方案。 使用原型实验平台的3D FEM和实验检查了准确度。 结果表明,齿槽扭矩已减少82.5%。

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