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

Article type: Research Article

Authors: Seo, Jang-Ho^{a; *} | Kwak, Sang-Yeop^a | Chung, Tae Kyung^b | Jung, Sang-Yong^c | Jung, Hyun-Kyo^a

Affiliations: [a] School of Electrical Engineering, Seoul National University, Seoul, 151-742, Korea | [b] School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, 156-756, Korea | [c] Department of Electrical Engineering, Dong-A University, Busan, Korea

Correspondence: [*] Corresponding author. Tel.: +82 2 880 7262; E-mail: jangho78@elecmech.snu.ac.kr

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, niching genetic algorithm, interior permanent magnet machine

DOI: 10.3233/JAE-2009-1002

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 29, no. 1, pp. 37-45, 2009