Design optimization of permanent magnet motors using response surface methodology and genetic algorithms

Author

Jolly, Laurent ; Jabbar, M.A. ; Qinghua, Liu

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore

Volume

41

Issue

10

fYear

2005

Firstpage

3928

Lastpage

3930

Abstract

This paper describes work done on optimization of design of permanent magnet motors using response surface modeling and genetic algorithms (GAs). Finite element computations have been used for numerical experiments on geometrical design variables in order to evaluate the coefficients of a second-order model for the response surfaces representing machine parameters (λ_m, L_d, and L_q). GAs were used to optimize the torque and speed of the machine in terms of these variables.

Keywords

finite element analysis; genetic algorithms; magnetic devices; magnetic fields; permanent magnet motors; response surface methodology; design optimization; finite element analysis; genetic algorithms; machine parameters; permanent magnet motors; response surface methodology; Design optimization; Genetic algorithms; Geometry; Magnetic flux; Optimization methods; Permanent magnet motors; Response surface methodology; Rotors; Saturation magnetization; Torque; Finite element method (FEM); genetic algorithms (GAs); optimization; permanent magnet motor; response surface method (RSM);

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2005.854966

Filename

1519491