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

Jang Ho Seo; Sang Yeop Kwak; Tae Kyung Chung; Sang Yong Jung; Hyun Kyo Jung

doi:10.3233/JAE-2009-1002

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

Jang Ho Seo, Sang Yeop Kwak, Tae Kyung Chung, Sang Yong Jung, Hyun Kyo Jung

School of Automotive Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	37-45
Number of pages	9
Journal	International Journal of Applied Electromagnetics and Mechanics
Volume	29
Issue number	1
DOIs	https://doi.org/10.3233/JAE-2009-1002
State	Published - 2009

Keywords

Auto-tuning concept
Detecting trace
Interior permanent magnet machine
Niching genetic algorithm

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10.3233/JAE-2009-1002

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abstract = "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.",

keywords = "Auto-tuning concept, Detecting trace, Interior permanent magnet machine, Niching genetic algorithm",

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AU - Kwak, Sang Yeop

AU - Chung, Tae Kyung

AU - Jung, Sang Yong

AU - Jung, Hyun Kyo

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Auto-tuning concept

KW - Detecting trace

KW - Interior permanent magnet machine

KW - Niching genetic algorithm

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IS - 1

ER -

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

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Keywords

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