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
fDate :
5/1/1999 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
