Indirect adaptive control for synchronous Generator: comparison of MLP/RBF neural networks approach with Lyapunov stability analysis

Author

Park, Jung-Wook ; Harley, Ronald G. ; Venayagamoorthy, Ganesh K.

Volume

15

Issue

2

fYear

2004

fDate

3/1/2004 12:00:00 AM

Firstpage

460

Lastpage

464

Abstract

This paper compares two indirect adaptive neurocontrollers, namely a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) to control a synchronous generator. The different damping and transient performances of two neurocontrollers are compared with those of conventional linear controllers, and analyzed based on the Lyapunov direct method.

Keywords

Lyapunov methods; adaptive control; damping; machine control; multilayer perceptrons; neurocontrollers; radial basis function networks; stability; synchronous generators; Lyapunov transient stability analysis; damping; indirect adaptive control; indirect adaptive neurocontrollers; linear controllers; multilayer perceptron neural network; radial basis function neural network; synchronous generator; transient performance; Adaptive control; Damping; Lyapunov method; Multilayer perceptrons; Neural networks; Neurocontrollers; Performance analysis; Programmable control; Synchronous generators; Transient analysis; Neural Networks (Computer);

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/TNN.2004.824260

Filename

1288249