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Conference Paper: Asymptotic local approach in fault detection with faults modeled by neurofuzzy networks

TitleAsymptotic local approach in fault detection with faults modeled by neurofuzzy networks
Authors
KeywordsNeural Control
power System control
Issue Date2002
PublisherElsevier Ltd.
Citation
The 15th Triennial World Congress of International Federation of Automatic Control (IFAC), Barcelona, Spain, 2002. In IFAC Proceedings Volumes, 2002, v. 35 n. 1, p. 291-296 How to Cite?
AbstractA simple neuro-controller for a synchronous generator is presented in this paper. The controller performs the function of the terminal voltage control. By representing the proposed neuro-controller in s-domain, its parameters to ensure system stability can be obtained analytically. Results of simulation studies on a non-linear seventh order generator model with the neuro-controller using calculated parameters are given. Real-time implementation and experimental verification of the neuro-controller as an automatic voltage regulator for a physical model of a single-machine infinite-bus power system is described. Results of experimental studies demonstrate the effectiveness of this simple neuro-controller.
Persistent Identifierhttp://hdl.handle.net/10722/100926

 

DC FieldValueLanguage
dc.contributor.authorWang, Yen_HK
dc.contributor.authorChan, CWen_HK
dc.date.accessioned2010-09-25T19:28:55Z-
dc.date.available2010-09-25T19:28:55Z-
dc.date.issued2002en_HK
dc.identifier.citationThe 15th Triennial World Congress of International Federation of Automatic Control (IFAC), Barcelona, Spain, 2002. In IFAC Proceedings Volumes, 2002, v. 35 n. 1, p. 291-296-
dc.identifier.urihttp://hdl.handle.net/10722/100926-
dc.description.abstractA simple neuro-controller for a synchronous generator is presented in this paper. The controller performs the function of the terminal voltage control. By representing the proposed neuro-controller in s-domain, its parameters to ensure system stability can be obtained analytically. Results of simulation studies on a non-linear seventh order generator model with the neuro-controller using calculated parameters are given. Real-time implementation and experimental verification of the neuro-controller as an automatic voltage regulator for a physical model of a single-machine infinite-bus power system is described. Results of experimental studies demonstrate the effectiveness of this simple neuro-controller.-
dc.languageengen_HK
dc.publisherElsevier Ltd.-
dc.relation.ispartofIFAC Proceedings Volumesen_HK
dc.subjectNeural Control-
dc.subjectpower System control-
dc.titleAsymptotic local approach in fault detection with faults modeled by neurofuzzy networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, CW: mechan@hkucc.hku.hken_HK
dc.identifier.authorityChan, CW=rp00088en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.3182/20020721-6-ES-1901.00954-
dc.identifier.hkuros79445en_HK

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