Electric machine dimensioning by global optimization

Author

Goos, Jan

Volume

1

fYear

1997

fDate

27-23 May 1997

Firstpage

308

Abstract

Global optimization as a genetic algorithm and simulated annealing are proposed for synchronous machine dimensioning. By using the optimization in dimensioning, it is possible to replace the heuristic optimization process of a design engineer in an automated offer calculation system or alternatively to help the engineer in design work. The role of the optimization is to vary a part of the design parameters of a design tool. Heuristic design knowledge and knowledge of the specifications of the machines are utilized. Also, the production tools can be taken into account in the optimization process. The objectives of optimization are described by fuzzy tolerances. In this paper the descriptions of the experiments are explained and the effectiveness of optimization algorithms with different parameters and encoding techniques are studied

Keywords

electrical engineering computing; genetic algorithms; simulated annealing; synchronous machines; design engineer; electric machine dimensioning; fuzzy tolerances; genetic algorithm; global optimization; heuristic optimization; production tools; simulated annealing; synchronous machine dimensioning; Algorithm design and analysis; Design engineering; Design optimization; Electric machines; Genetic algorithms; Optimization methods; Process design; Simulated annealing; Stochastic processes; Synchronous machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-3755-7

Type

conf

DOI

10.1109/KES.1997.616930

Filename

616930