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A trajectory tracking genetic fuzzy logic controller for nuclear research reactors

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dc.contributor.authorsCoban, Ramazan; Can, Burhanettin
dc.date.accessioned2022-03-12T17:48:11Z
dc.date.accessioned2026-01-11T07:24:44Z
dc.date.available2022-03-12T17:48:11Z
dc.date.issued2010
dc.description.abstractIn this study, a trajectory tracking genetic fuzzy logic controller was designed for research reactors. Membership functions and action weights of the fuzzy controller were optimally determined by genetic algorithms. The behavior of the controller was tested for various initial and desired power levels as well as under disturbance. It was seen that the controller could control the system successfully under all conditions within the acceptable error tolerance. (C) 2009 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.enconman.2009.11.003
dc.identifier.issn0196-8904
dc.identifier.urihttps://hdl.handle.net/11424/229912
dc.identifier.wosWOS:000274090300025
dc.language.isoeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofENERGY CONVERSION AND MANAGEMENT
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectNuclear reactor control
dc.subjectFuzzy logic controller
dc.subjectGenetic algorithms
dc.subjectIDENTIFICATION
dc.titleA trajectory tracking genetic fuzzy logic controller for nuclear research reactors
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage593
oaire.citation.issue3
oaire.citation.startPage587
oaire.citation.titleENERGY CONVERSION AND MANAGEMENT
oaire.citation.volume51

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