基于样条的永磁同步电机转子和定子优化
Spline-Based Rotor and Stator Optimization of a Permanent Magnet Synchronous Motor
AI总结：
本文提出了一种基于样条的永磁同步电机转子和定子优化方法，通过修改控制点来优化几何参数和表面形状，并利用磁性缩放定律实现轴向和径向缩放，从而对多个工作点的所有关键电机参数进行彻底优化，以降低电机材料成本、扭矩脉动和损耗。
摘要：
本文采用等几何分析框架中的二维非线性模拟，对永磁同步电机进行优化。通过修改控制点，对转子和定子的几何参数和表面形状进行优化。利用磁性缩放定律实现轴向和径向缩放，从而对多个工作点的所有关键电机参数进行彻底优化。该过程采用基于梯度的方式进行，目标是降低电机材料成本、扭矩脉动和损耗。结果显示，对于许多优化变量，优化可以高效进行，且所有目标值均可减少。
英文摘要：
This work features the optimization of a Permanent Magnet Synchronous Motor using 2D nonlinear simulations in an Isogeometric Analysis framework. The rotor and stator designs are optimized for both geometric parameters and surface shapes via modifications of control points. The scaling laws for magnetism are employed to allow for axial and radial scaling, enabling a thorough optimization of all critical machine parameters for multiple operating points. The process is carried out in a gradient-based fashion with the objectives of lowering motor material cost, torque ripple and losses. It is shown that the optimization can be efficiently conducted for many optimization variables and all objective values can be reduced.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
