Some results on the design of brushless DC wheel motor using SQP and GA

被引：23

作者：

Moussouni, F. ^{[1
]}

Brisset, S. ^{[1
]}

Brochet, P. ^{[1
]}

机构：

[1] Ecole Cent Lille, L2EP, F-59651 Villeneuve Dascq, France

来源：

INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 2007年 / 26卷 / 3-4期

关键词：

sequential quadratic programming; genetic algorithms; mixed-integer optimization; multiobjective optimization;

D O I：

10.3233/JAE-2007-913

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：

The sequential quadratic programming and genetic algorithms are finely tuned on the optimal design of a brushless DC wheel motor. Combining both methods, a hybrid approach is tested. Multiobjective optimizations are performed using Nondominated Sorting Genetic Algorithm, Strength Pareto Evolutionary Algorithm, and a variable weighted sum of objectives with the sequential quadratic programming. The Pareto fronts are compared in term of accuracy, uniformity, and coverage criteria using some quality indicators.

引用

页码：233 / 241

页数：9

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