Optimal design of interior-permanent magnet synchronous machine for vehicle using improved niching genetic algorithm

被引：4
|
作者：
Seo, Jang-Ho [1 ]
Kwak, Sang-Yeop [1 ]
Chung, Tae Kyung [2 ]
Jung, Sang-Yong [3 ]
Jung, Hyun-Kyo [1 ]
机构：
[1] Seoul Natl Univ, Sch Elect Engn, Seoul 151742, South Korea
[2] Chung Ang Univ, Sch Elect & Elect Engn, Seoul 156756, South Korea
[3] Dong A Univ, Dept Elect Engn, Pusan, South Korea
来源：
INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 2009年 / 29卷 / 01期
关键词：
Auto-tuning concept; detecting trace; niching genetic algorithm; interior permanent magnet machine;
D O I：
10.3233/JAE-2009-1002
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：
In this paper, an improved niching genetic algorithm applying the concept of auto-tuning and detecting traces is proposed for asymmetrical multimodal function optimization. Population size and both (right and left) niche radii of each peak in an asymmetrical objective function can be determined automatically. This method is applied to the numerical examples and the optimal design of interior permanent magnet synchronous machine (IPMSM). Through the comparison between simulation results and experimental ones, the validity of the proposed method is verified.
引用
收藏
页码：37 / 45
页数：9
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