State feedback using artificial neural network for speed control of DC motor

Author

Janardan, E.G. ; Gajendran, F. ; Nambisan, P.M.S.

Author_Institution

Dept. of Electr. & Electron. Eng., NSS Coll. of Eng., Palakkad, India

Volume

2

fYear

1996

fDate

8-11 Jan 1996

Firstpage

753

Abstract

This paper introduces the idea of using artificial neural networks for the speed control of a DC motor whose parameters are not constant. Motor armature current and speed are taken as state variables. The control is achieved through state feedback and output controllers whose parameters are adjusted by the neural network by observing current and speed history. The scheme is illustrated by its application to a particular DC motor. The responses of conventional controllers and those obtained with the proposed scheme are compared

Keywords

DC motors; control system synthesis; learning (artificial intelligence); machine control; machine theory; neurocontrollers; state feedback; velocity control; DC motor speed control; artificial neural network; control design; control response; output controllers; state feedback; state variables; training; Adaptive control; Artificial neural networks; Backpropagation; Control systems; DC motors; Feeds; Neural networks; Programmable control; Three-term control; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics, Drives and Energy Systems for Industrial Growth, 1996., Proceedings of the 1996 International Conference on

Conference_Location

New Delhi

Print_ISBN

0-7803-2795-0

Type

conf

DOI

10.1109/PEDES.1996.535873

Filename

535873