Hybridization Algorithm of Fireworks Optimization and Generating Set Search for Optimal Design of IPMSM

被引：0
|
作者：
Kim, Dae-Woo [1 ]
Park, Gyeong-Jae [1 ]
Kim, Jong-Wook [2 ]
Kim, Yong-Jae [3 ]
Jung, Sang-Yong [1 ]
机构：
[1] Sungkyunkwan Univ, Sch Elect & Elect Engn, Suwon 400746, South Korea
[2] Dong A Univ, Dept Elect Engn, Busan 604714, South Korea
[3] Chosun Univ, Dept Elect Engn, Gwangju 61452, South Korea
来源：
2016 IEEE CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION (CEFC) | 2016年
关键词：
Fireworks Optimization; Generating Set Search; Optimal Design; Permanent Magnet Synchronous Motor;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Since design of electric machine concerns with numbers of design parameters, it is difficult and time consuming to obtain optimal design that satisfies all of requirements. For this reason, novel concept of optimization method, Fireworks Optimization (FO), is introduced in this paper. Since FO is an algorithm that is specialized in exploration, it is used combined with Generating Set Search (GSS) for optimal design of Interior Permanent Magnet Synchronous Motor (IPMSM).
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