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

Volume

1

fYear

34881

fDate

10-14 Jul1995

Firstpage

181

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 1995. ISIE '95., Proceedings of the IEEE International Symposium on

Conference_Location

Athens

Print_ISBN

0-7803-7369-3

Type

conf

DOI

10.1109/ISIE.1995.496623

Filename

496623