Optimizations of Induction Motors Finite Element Assisted Design Through the Global Response Surface Method

V. Fireteanu, A. Constantin
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Abstract

The paper relates to the improvement of the performances of a double squirrel-cage induction motor reference design. Optimums of the objective functions efficiency, power factor, starting breakdown torques, starting and rated currents are determined through mono - and multi-objective optimizations with the Global Response Surface Method (GRSM) algorithm. Design variables defining the cross-section of the stator and rotor slots and the motor axial section, which satisfies search ranges and constrains based on the design experience, are considered. The analysis of optimums and of the values of the correspondent design variables helps the decision for the best motor design.
基于全局响应面法的感应电机有限元辅助设计优化
本文是关于双鼠笼型异步电动机性能改进的参考设计。采用全局响应面法(GRSM)算法,通过单目标和多目标优化,确定了效率、功率因数、起动击穿转矩、起动电流和额定电流等目标函数的最优值。考虑了确定定子、转子槽截面和电机轴向截面的设计变量,满足搜索范围和基于设计经验的约束。对相应设计变量的最优值和值的分析有助于确定最佳电机设计方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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