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- Publisher Website: 10.3182/20020721-6-ES-1901.00954
- Scopus: eid_2-s2.0-84945530888
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Conference Paper: Asymptotic local approach in fault detection with faults modeled by neurofuzzy networks
Title | Asymptotic local approach in fault detection with faults modeled by neurofuzzy networks |
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Authors | |
Keywords | Neural Control power System control |
Issue Date | 2002 |
Publisher | Elsevier 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? |
Abstract | A 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 Identifier | http://hdl.handle.net/10722/100926 |
DC Field | Value | Language |
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dc.contributor.author | Wang, Y | en_HK |
dc.contributor.author | Chan, CW | en_HK |
dc.date.accessioned | 2010-09-25T19:28:55Z | - |
dc.date.available | 2010-09-25T19:28:55Z | - |
dc.date.issued | 2002 | en_HK |
dc.identifier.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 | - |
dc.identifier.uri | http://hdl.handle.net/10722/100926 | - |
dc.description.abstract | A 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.language | eng | en_HK |
dc.publisher | Elsevier Ltd. | - |
dc.relation.ispartof | IFAC Proceedings Volumes | en_HK |
dc.subject | Neural Control | - |
dc.subject | power System control | - |
dc.title | Asymptotic local approach in fault detection with faults modeled by neurofuzzy networks | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Chan, CW: mechan@hkucc.hku.hk | en_HK |
dc.identifier.authority | Chan, CW=rp00088 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.3182/20020721-6-ES-1901.00954 | - |
dc.identifier.scopus | eid_2-s2.0-84945530888 | - |
dc.identifier.hkuros | 79445 | en_HK |