Title :
R-FL-C Model for Design Optimization of PM Generators
Author :
Arkadan, A.A. ; Mneimneh, M.A. ; Al-Aawar, N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI
Abstract :
A novel recursive-fuzzy logic-classifying, R-FL-C, approach for the design optimization of PM generators is presented. This approach is used to cut the search space and to avoid local minima during the optimization process. The search space data base 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 verified by comparison to test data
Keywords :
design engineering; finite element analysis; fuzzy logic; optimisation; permanent magnet generators; stators; design optimization; finite element-state space models; local minima avoidance; optimization process; permanent magnet generators; recursive-fuzzy logic-classification; search space data base; toothless stator design; Conductors; Design optimization; Magnetic cores; Permanent magnets; Predictive models; Shafts; Stator cores; Teeth; USA Councils;
Conference_Titel :
Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on
Conference_Location :
Miami, FL
Print_ISBN :
1-4244-0320-0
DOI :
10.1109/CEFC-06.2006.1633264
