Title :
On-line training of neural network model and controller for turbogenerators
Author :
Wu, Q.H. ; Hogg, B.W. ; Irwin, G.W.
Author_Institution :
Dept. of Electr. & Electron. Eng., Queen´´s Univ. of Belfast, UK
Abstract :
The authors are concerned with the development of a neural network (NN) regulator for turbogenerator adaptive control. The NN regulator is designed based on a hierarchical architecture of neural networks. The back-propagation (BP) algorithm is used hierarchically in the NN regulator for on-line training of the turbogenerator NN model and controller. Dynamic modelling of the turbogenerator system has been investigated using the multilayer NN. The NN regulator has been implemented on a simulated complex nonlinear turbogenerator system. Simulation results evaluating the performance of the NN regulator under different operation conditions and disturbances are presented
Keywords :
adaptive control; machine control; neural nets; power engineering computing; synchronous generators; turbogenerators; back-propagation algorithm; dynamic modelling; neural network regulator; on-line training; turbogenerator adaptive control; Adaptive control; Control systems; Neural networks; Nonlinear dynamical systems; Power system dynamics; Power system modeling; Power system simulation; Regulators; Synchronous generators; Turbogenerators;
Conference_Titel :
Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0065-3
DOI :
10.1109/ANN.1991.213515
