Multiobjective design optimization of brushless permanent magnet motor using 3D equivalent magnetic circuit network method

Author

Chun, Y.D. ; Wakao, S. ; Kim, T.H. ; Jang, K.B. ; Lee, J.

Author_Institution

Adv. Res. Inst. for Sci. & Eng., Waseda Univ., Tokyo, Japan

Volume

14

Issue

2

fYear

2004

fDate

6/1/2004 12:00:00 AM

Firstpage

1910

Lastpage

1913

Abstract

In this paper, we discuss multiobjective design optimization of brushless permanent magnet motor (BLPMM) solved by genetic algorithm (GA) and 3D equivalent magnetic circuit network (EMCN) method. In the multiobjective optimization (MO) problem, we choose the decrease of cogging torque and the increase of torque as objectives. The airgap length, teeth width and magnetization angle of permanent magnet (PM) are also selected for the design variables respectively. From the results, our approach method enabled us to efficiently obtain diverse Pareto optimal (PO) solutions from the practical point of view. The experimental results are shown to confirm the validity of the optimization results.

Keywords

Pareto optimisation; brushless DC motors; equivalent circuits; genetic algorithms; magnetic circuits; permanent magnet motors; Pareto optimal solution; airgap length; brushless motors; cogging torque; equivalent magnetic circuit network; genetic algorithm; magnetization angle; multiobjective design optimization; permanent magnet motor; teeth width; Design optimization; Forging; Genetic algorithms; Magnetic analysis; Magnetic circuits; Magnetization; Permanent magnet motors; Permanent magnets; Teeth; Torque; Brushless permanent magnet motor; D equivalent magnetic circuit network method; genetic algorithm; multiobjective design optimization;

fLanguage

English

Journal_Title

Applied Superconductivity, IEEE Transactions on

Publisher

ieee

ISSN

1051-8223

Type

jour

DOI

10.1109/TASC.2004.830928

Filename

1325185