Adaptive control of electric drives using neural networks

Author

Lim, C.M. ; Ouyang, Y.Z. ; Ouyang, Y.K. ; Lee, T.H.

Author_Institution

Dept. of Electron. & Comput. Eng., Ngee Ann Polytech., Singapore

Volume

1

fYear

1997

fDate

26-29 May 1997

Firstpage

451

Abstract

A simple adaptive control scheme using neural networks is applied to DC drives through simulation and real-time experimental studies. The primary objective of the paper is to demonstrate the effectiveness of this control scheme for different operating conditions. The adaptive neural control scheme consists of two parts. One is a neural estimator which is used to estimate the dynamics of the drive system under control. The other is a neural controller which is used to generate a control signal so that a pre-defined system output is regulated to a desired value. Simulation and experimental results are presented to demonstrate the effectiveness of this neural adaptive control scheme

Keywords

DC motor drives; adaptive control; machine control; neurocontrollers; parameter estimation; power engineering computing; DC drives; adaptive control; adaptive neural control scheme; control signal generation; dynamics estimation; electric drives; neural controller; neural estimator; neural networks; operating conditions; pre-defined system output regulation; simulation; Adaptive control; Biological neural networks; Computational modeling; Control systems; Damping; Error correction; Humans; Neural networks; Programmable control; Signal generators;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics and Drive Systems, 1997. Proceedings., 1997 International Conference on

Print_ISBN

0-7803-3773-5

Type

conf

DOI

10.1109/PEDS.1997.618746

Filename

618746