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

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

919

Lastpage

924

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on

Conference_Location

Honolulu, HI

ISSN

1098-7576

Print_ISBN

0-7803-7278-6

Type

conf

DOI

10.1109/IJCNN.2002.1005597

Filename

1005597