DocumentCode
2982855
Title
An investigation into the feasibility of using neural networks to control turbogenerators
Author
Shepstone, NM ; Harley, RG ; Jennings, G. ; Rodgerson, J.
Author_Institution
Dept. of Electr. Eng., Natal Univ., Dalbridge, South Africa
Volume
2
fYear
1996
fDate
24-27 Sep 1996
Firstpage
849
Abstract
This paper reports on the feasibility of using an online learning neural network as an adaptive turbogenerator controller to replace the automatic voltage regulator and the turbine governor. Results are presented which show that the neural network can control the turbogenerator at least as well as the conventional controller, but more importantly, its performance does not degrade when system conditions change
Keywords
learning (artificial intelligence); machine control; neurocontrollers; power engineering computing; turbogenerators; adaptive turbogenerator controller; neural networks; online learning neural network; turbogenerators control; Adaptive control; Adaptive systems; Automatic control; Automatic voltage control; Control systems; Neural networks; Programmable control; Regulators; Turbines; Turbogenerators;
fLanguage
English
Publisher
ieee
Conference_Titel
AFRICON, 1996., IEEE AFRICON 4th
Conference_Location
Stellenbosch
Print_ISBN
0-7803-3019-6
Type
conf
DOI
10.1109/AFRCON.1996.563003
Filename
563003
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