DocumentCode
1514319
Title
NN models of hysteretic nonlinear electromagnetic devices under voltage or current supply
Author
Cincotti, Silvano ; Marchesi, Michele ; Serri, Antonino
Author_Institution
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Volume
35
Issue
3
fYear
1999
fDate
5/1/1999 12:00:00 AM
Firstpage
1235
Lastpage
1238
Abstract
A numerically efficient model of nonlinear electromagnetic devices under different supply modes is presented. The model is based on feedforward neural networks (NNs) properly inputted for voltage and current supply. The NN model allows a close prediction of typical hysteretic behavior of these devices. Comparisons with other models (e.g. Chua-Stromsmoe and Jiles-Atherton) and experimental data are also reported
Keywords
electrical engineering computing; electromagnetic devices; feedforward neural nets; magnetic hysteresis; current supply; feedforward neural network models; hysteretic behavior prediction; hysteretic nonlinear electromagnetic devices; voltage supply; Circuits; Current supplies; Electromagnetic devices; Electromagnetic modeling; Employee welfare; Frequency; Hysteresis; Inductors; Neural networks; Voltage;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.767173
Filename
767173
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