Fuzzy inference system for the characterization of SRM drives under normaland fault conditions

Authors
Bouji, M Arkadan, AA Ericsen, T
Citation
M. Bouji et al., Fuzzy inference system for the characterization of SRM drives under normaland fault conditions, IEEE MAGNET, 37(5), 2001, pp. 3745-3748
Citations number
8
Categorie Soggetti
Apllied Physucs/Condensed Matter/Materiales Science
Journal title
IEEE TRANSACTIONS ON MAGNETICS
ISSN journal
00189464 → ACNP
Volume
37
Issue
5
Year of publication
2001
Part
1
Pages
3745 - 3748
Database
ISI
SICI code
0018-9464(200109)37:5<3745:FISFTC>2.0.ZU;2-E
Abstract
A fuzzy inference system Is used to characterize switched reluctance motor, SRM, drive systems under normal and fault operating conditions. The Fuzzy Logic (FL),is applied for its ability to be very suitable for problems with large uncertainty. Knowledge about the system Is accumulated using coupled Finite-Element (FE) magnetic field and state space (SS) models. The validi ty of the FL based model is demonstrated by applying it to a prototype SRM drive system.