Fuzzy approach for multiobjective optimization in magnetics

Author

Chiampi, M. ; Ragusa, C. ; Repetto, M.

Author_Institution

Dipartimento di Ingegneria Elettrica Ind., Politecnico di Torino, Italy

Volume

32

Issue

3

fYear

1996

fDate

5/1/1996 12:00:00 AM

Firstpage

1234

Lastpage

1237

Abstract

The multiobjective optimization problem is of interest in almost all EM design problems. Fuzzy logic can be used in the definition of a decision making scheme for a compromise between conflicting objective functions. In the proposed approach a fuzzy “global performance” index of the design is defined. This parameter can be optimized by any scalar optimization algorithm. The fuzzyfication process, based on a set of linguistic rules defined by the user, is explained. Results obtained on multiobjective optimization problems, which show the good performance of the proposed approach, are presented and discussed. The problems discussed are the design of DC electromagnets and superconducting magnetic energy storage devices

Keywords

CAD; computational linguistics; decision theory; design engineering; electrical engineering computing; electromagnets; fuzzy logic; optimisation; superconducting magnet energy storage; DC electromagnets; EM design problems; conflicting objective functions; decision making scheme; fuzzy logic; fuzzyfication process; global performance index; linguistic rules; magnetics; multiobjective optimization; scalar optimization algorithm; superconducting magnetic energy storage devices; Algorithm design and analysis; Constraint optimization; Decision making; Design optimization; Electromagnets; Fuzzy logic; Fuzzy sets; Magnetics; Performance analysis; Robustness; Superconducting magnetic energy storage; Testing;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.497467

Filename

497467