DocumentCode
1597845
Title
A robust artificial neural network controller for a turbogenerator when line configuration changes
Author
Venayagamoorthy, Ganesh K. ; Harley, Ronald G.
Author_Institution
Dept. of Electr. Eng., Natal Univ., Durban, South Africa
Volume
2
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
917
Abstract
This paper presents the design of a robust controller for a turbogenerator. The robust controller is an artificial neural network (ANN) that is trained offline on a family of ANN models of the turbogenerator. This ANN controller augments/replaces the traditional automatic voltage controller (AVR) and the turbine governor of the generator. Simulation results are presented to show that the ANN controller is robust when the transmission line configuration changes
Keywords
control system analysis; control system synthesis; learning (artificial intelligence); machine control; machine theory; neurocontrollers; robust control; turbogenerators; control simulation; offline training; robust artificial neural network controller; robust controller design; transmission line configuration changes; turbogenerator; Artificial neural networks; Automatic control; Equations; Mathematical model; Neural networks; Power generation; Power transmission lines; Robust control; Turbines; Turbogenerators;
fLanguage
English
Publisher
ieee
Conference_Titel
Africon, 1999 IEEE
Conference_Location
Cape Town
Print_ISBN
0-7803-5546-6
Type
conf
DOI
10.1109/AFRCON.1999.821892
Filename
821892
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