Title :
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
fDate :
4/1/2007 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2007.892494
