Experimental Studies with a Continually Online Trained Artificial Neural Network Controller for a Turbogenerator

Ganesh K. Venayagamoorthy, Missouri University of Science and Technology
Ronald G. Harley

This document has been relocated to http://scholarsmine.mst.edu/ele_comeng_facwork/1038

There were 1 downloads as of 27 Jun 2016.


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