Particle Swarm Design Optimization of ALA Rotor SynRM for Traction Applications

Author

Arkadan, A.A. ; ElBsat, M.N. ; Mneimneh, M.A.

Author_Institution

Hariri Canadian Univ., Mechref

Volume

45

Issue

3

fYear

2009

fDate

3/1/2009 12:00:00 AM

Firstpage

956

Lastpage

959

Abstract

Particle swarm optimization (PSO) algorithm is applied to the design optimization problem of axially laminated anisotropic (ALA) rotor synchronous reluctance motor (SynRM) drive. The objective of the optimization is to maximize the developed torque while minimizing the torque ripple as well as the ohmic and core losses for traction applications. The number of flux paths, stator tooth width, and rotor flux path width define the 3-D search space for the optimization problem. An artificial intelligence modeling approach utilizing PSO and finite element-state space (FE-SS) models is used for the characterization and design optimization of a prototype ALA rotor SynRM drive for traction applications.

Keywords

finite element analysis; particle swarm optimisation; reluctance motor drives; state-space methods; traction; 3D search space; ALA rotor SynRM; axially laminated anisotropic rotor; core losses; finite element-state space models; particle swarm design optimization; rotor flux path width; synchronous reluctance motor drive; traction applications; Artificial intelligence; fuzzy logic; optimization methods; reluctance machines; synchronous machines;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2009.2012482

Filename

4787274