Fast multi objective optimization of an automotive PMSM using mixed BEM with genetic algorithms

Author

Touati, Said ; Ibtiouen, R. ; Touhami, O. ; Djerdir, A.

Author_Institution

Nucl. Res. Centre of BIRINE (CRNB), Ain Oussera, Algeria

fYear

2010

fDate

1-3 Sept. 2010

Firstpage

1

Lastpage

4

Abstract

In this work, we discuss multi-objective design optimization of permanent magnet synchronous motor (PMSM) solved by genetic algorithm (GA) and boundary element method. We choose the decrease of cogging torque and the increase of torque as objectives applied to multi-objective optimization (MO) of automotive permanent magnet synchronous motor. 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.

Keywords

boundary-elements methods; genetic algorithms; permanent magnet motors; synchronous motors; BEM; Pareto optimal solution; automotive PMSM; boundary element method; genetic algorithm; multi objective optimization; permanent magnet synchronous motor; Boundary element methods; Finite element methods; Forging; Mathematical model; Optimization; Permanent magnet motors; Torque; Permanent magnet synchronous motor; boundary element method; genetic algorithm; multi-objective design optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE

Conference_Location

Lille

Print_ISBN

978-1-4244-8220-7

Type

conf

DOI

10.1109/VPPC.2010.5728995

Filename

5728995