R-FL-C Model for Design Optimization of PM Generators

Author

Arkadan, A.A. ; Mneimneh, M. ; Al-Aawar, N.

Author_Institution

Hariri Canadian Univ., Mechref

Volume

43

Issue

4

fYear

2007

fDate

4/1/2007 12:00:00 AM

Firstpage

1649

Lastpage

1652

Abstract

A novel recursive fuzzy-logic classifying (R-FL-C) approach for the design optimization of permanent magnet generators is presented. This approach is used to cut the search space and to avoid local minima during the optimization process. The search space database is established using knowledge obtained off-line from finite-element state-space models. The application of the approach to a prototype aerospace type PM generator resulted in a toothless stator design with lower weight and improved performance. The results are validated by comparison to test data

Keywords

aerospace computing; design engineering; electric machine CAD; finite element analysis; fuzzy logic; optimisation; permanent magnet generators; stators; aerospace type generator; design optimization; finite-element state-space models; local minima avoidance; permanent magnet generators; recursive fuzzy-logic classification approach; search space database; toothless stator design; Artificial intelligence; Databases; Design methodology; Design optimization; Electromagnetic devices; Finite element methods; Optimization methods; Permanent magnets; Stators; Torque; Artificial intelligence; fuzzy logic; optimization methods; permanent magnet generators;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2007.892494

Filename

4137663