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
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Africon, 1999 IEEE
Conference_Location :
Cape Town
Print_ISBN :
0-7803-5546-6
DOI :
10.1109/AFRCON.1999.821892
