Title :
Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator
Author :
Park, Jung-Wook ; Harley, Ronald G. ; Venayagamoorthy, Ganesh K.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
This paper compares the performances of a multilayer perceptron neurocontroller and a radial basis function neurocontroller for backpropagation through time based indirect adaptive control of the synchronous generator. Also, the neurocontrollers are compared with the conventional controller for small as well as large disturbances to the power system
Keywords :
adaptive control; backpropagation; multilayer perceptrons; neurocontrollers; power system control; power system transient stability; radial basis function networks; synchronous generators; backpropagation; damping; learning; multilayer perceptron; neurocontrol; radial basis function neural network; synchronous generator; time based indirect adaptive control; transient stability; Adaptive control; Automatic generation control; MIMO; Neural networks; Neurocontrollers; Nonlinear control systems; Nonlinear dynamical systems; Programmable control; Synchronous generators; Voltage;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005597
