The role of coarse models in space-mapping: A study on an IPM motor optimization

被引：0

作者：

Silva, Rodrigo ^{[1
]}

Li, Min ^{[1
]}

Lowther, David A. ^{[1
]}

机构：

[1] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada

来源：

INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 2016年 / 51卷

关键词：

Deterministic optimization; interior permanent magnet motor; meta-modeling; space-mapping;

D O I：

10.3233/JAE-2020

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Space-Mapping (SM) is a recognized and successful engineering optimization paradigm. It replaces the optimization of a high-fidelity model by an iterative process of optimization and update of a low fidelity, but cheap to evaluate, model. In spite of its success, its performance greatly depends on how fast and on how accurate the cheap model is. In this work, utilizing the optimization of an IPM motor as a test bed, we make a thorough experimental study of a number of coarse models of varying accuracy and execution times. The main goal is to show how the characteristics of the coarse models affect the SM performance.

引用

页码：S147 / S156

页数：10

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