Title :
Neural networks applied for induction motor speed sensorless estimation
Author :
Fodor, D. ; Ionescu, F. ; Floricau, D. ; Six, J.P. ; Delarue, P. ; Diana, D. ; Griva, G.
Author_Institution :
Fac. of Electrotech., Politehnica Univ. of Bucharest, Romania
Abstract :
In this paper, two schemes using neural networks (NN) as speed estimators in induction motor field oriented controlled (FOC) drives are compared. The first estimator consists of a two-layer neural network (often called a perceptron) while in the second a three-layer neural network is used for motor speed estimation. Both estimators are simulated with an indirect field oriented controller (IFOC) for induction motor drives
Keywords :
control system analysis; feedforward neural nets; induction motor drives; machine control; machine theory; multilayer perceptrons; parameter estimation; velocity control; indirect field oriented control; induction motor drive; perceptron; sensorless speed estimators; three-layer neural network; two-layer neural network; Artificial neural networks; Automatic control; Birth disorders; Distributed control; Induction motor drives; Induction motors; Influenza; Multilayer perceptrons; Neural networks; Nonlinear systems;
Conference_Titel :
Industrial Electronics, 1995. ISIE '95., Proceedings of the IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-7369-3
DOI :
10.1109/ISIE.1995.496623
