Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator

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

Research output: Contribution to conferencePaper

9 Citations (Scopus)

Abstract

This paper compares the performances of a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) 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.

Original languageEnglish
Pages919-924
Number of pages6
Publication statusPublished - 2002 Jan 1
Event2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States
Duration: 2002 May 122002 May 17

Other

Other2002 International Joint Conference on Neural Networks (IJCNN '02)
CountryUnited States
CityHonolulu, HI
Period02/5/1202/5/17

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All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

Cite this

Park, J. W., Harley, R. G., & Venayagamoorthy, G. K. (2002). Comparison of MLP and RBF neural networks using deviation signals for indirect adaptive control of a synchronous generator. 919-924. Paper presented at 2002 International Joint Conference on Neural Networks (IJCNN '02), Honolulu, HI, United States.