Experimental studies with a continually online trained artificial neural network controller for a turbogenerator

Author

Venayagamoorthy, Ganesh K. ; Harley, Ronald G.

Author_Institution

Dept. of Electr. Eng., Natal Univ., Durban, South Africa

Volume

3

fYear

1999

fDate

1999

Firstpage

2158

Abstract

This paper presents the design of a continually online trained (COT) artificial neural network (ANN) controller for a laboratory turbogenerator system connected to the infinite bus through a transmission line in real time. Two COT ANNs are used for the implementation: one ANN to identify the complex nonlinear dynamics of the power system, and the other ANN to control the turbogenerator. Practical results are presented to show that COT ANN controllers can control turbogenerators under steady state as well as transient conditions in the laboratory environment

Keywords

dynamics; neurocontrollers; power system control; power system identification; transient response; turbogenerators; continually online trained neural net; infinite bus; neurocontroller; nonlinear dynamics; power system identification; transient response; turbogenerator; Artificial neural networks; Control systems; Laboratories; Nonlinear dynamical systems; Power system control; Power system dynamics; Power system transients; Power transmission lines; Real time systems; Turbogenerators;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1999. IJCNN '99. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-5529-6

Type

conf

DOI

10.1109/IJCNN.1999.832722

Filename

832722