Technique of evolutionary optimization permanent-magnet synchronous motors

被引：0

作者：

Kuznetcov, V. A. ^{[1
]}

Zykov, N. V. ^{[1
]}

Ivanov, M. M. ^{[1
]}

机构：

[1] Russian State Sci Ctr Robot & Tech Cybernet, 21 Tikhoretsky Prospect, St Petersburg 194064, Russia

来源：

XII INTERNATIONAL SYMPOSIUM INTELLIGENT SYSTEMS 2016, (INTELS 2016) | 2017年 / 103卷

关键词：

evolutionary optimization; synchronous motor; genetic algorithmM; NSGA; Pareto front;

D O I：

10.1016/j.procs.2017.01.058

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article describes a method of multi-criteria optimization of a synchronous motor with permanent magnets designs across multiple objective functions subject to the limitations on the size and characteristics of construction materials. For calculating the electromagnetic field using a finite element method, and genetic algorithm as used NSGA-II, implemented on the base of MATLAB. (C) 2017 The Authors. Published by Elsevier B.V.

引用

页码：198 / 204

页数：7

共 50 条

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