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
Recommended Citation
J. Park et al., "Comparison of MLP and RBF Neural Networks Using Deviation Signals for Indirect Adaptive Control of a Synchronous Generator," Proceedings of the 2002 International Joint Conference onNeural Networks, 2002. IJCNN '02, Institute of Electrical and Electronics Engineers (IEEE), Jan 2002.
The definitive version is available at https://doi.org/10.1109/IJCNN.2002.1005597
Meeting Name
2002 International Joint Conference onNeural Networks, 2002. IJCNN '02
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Adaptive Control; Backpropagation; Damping; Learning; Multilayer Perceptrons; Neurocontrol; Neurocontrollers; Power System Control; Power System Transient Stability; Radial Basis Function Networks; Radial Basis Function Neural Network; Synchronous Generators; Time Based Indirect Adaptive Control; Transient Stability
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2002 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 2002
