Optimal design of an IPM motor using fuzzy-based Taguchi method and Rosenbrock's algorithm
Optimal design of an IPM motor using fuzzy-based Taguchi method and Rosenbrock's algorithm
复制标题
使用基于模糊的田口方法和 Rosenbrock 算法优化 IPM 电机
DOI：
10.1109/icelmach.2016.7732791
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
C. J. Hong
中科院分区：
文献类型：
--
作者：
C. Hwang;Cheng;C. J. Hong
本文提出了一种2极、12000转/分、3kw的内嵌式永磁同步电动机，采用基于模糊的田口法和Rosenbrock算法进行鲁棒设计，求解最小齿槽转矩和最大平均转矩。通过有限元分析和仿真实现了优化。描述了设计优化过程，并采用基于模糊的田口法和Rosenbrock算法对优化结果进行了比较，并通过实验测量进行了验证。
This paper presents a 2-pole, 12000 rpm and 3 kW interior permanent magnet (IPM) synchronous motor, based on the finite element method (FEM) by robust design, called fuzzy-based Taguchi method and Rosenbrock's algorithm for the minimum cogging torque and the maximum average torque. The optimization is realized by analyses and simulations with finite element analysis (FEA). The design optimization process is described and the results were obtained using fuzzy-based Taguchi method and Rosenbrock's algorithm and are compared and validated by experimental measurements.