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.

Department(s)

Electrical and Computer Engineering

Sponsor(s)

Duke Power Company
National Science Foundation (U.S.)

Keywords and Phrases

Lyapunov Transient Stability Analysis; Indirect Adaptive Control; Multilayer Perceptron Neural Network (MLPN); On-Line Training; Radial Basis Function Neural Network (RBFN)

Library of Congress Subject Headings

Synchronous generators

Document Type

Article - Journal

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 2004 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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