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Cited 45 time in webofscience Cited 58 time in scopus
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dc.contributor.authorJin, CY-
dc.contributor.authorRyu, KH-
dc.contributor.authorSung, SW-
dc.contributor.authorLee, J-
dc.contributor.authorLee, IB-
dc.date.accessioned2016-03-31T07:50:08Z-
dc.date.available2016-03-31T07:50:08Z-
dc.date.created2015-02-04-
dc.date.issued2014-01-
dc.identifier.issn0959-1524-
dc.identifier.other2014-OAK-0000031177-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/14063-
dc.description.abstractIn this paper, a new model reduction method and an explicit PID tuning rule for the purpose of PID auto-tuning on the basis of a fractional order plus time delay model are proposed. The model reduction method directly fits the fractional order plus time delay model to frequency response data by solving a simple single-variable optimization problem. In addition, the optimal tuning parameters of the PID controller are obtained by solving the Integral of the Time weighted Absolute Error (ITAE) minimization problem and then, the proposed PID tuning rule in the form of an explicit formula is developed by fitting the parameters of the formula to the obtained optimal tuning parameters. The proposed tuning method provides almost the same performance as the optimal tuning parameters. Simulation study confirms that the auto-tuning strategy based on the proposed model reduction method and the PID tuning rule can successfully incorporate various types of process dynamics. (C) 2013 Elsevier Ltd. All rights reserved.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherELSEVIER SCI LTD-
dc.relation.isPartOfJOURNAL OF PROCESS CONTROL-
dc.titlePID auto-tuning using new model reduction method and explicit PID tuning rule for a fractional order plus time delay model-
dc.typeArticle-
dc.contributor.college엔지니어링 대학원-
dc.identifier.doi10.1016/J.JPROCONT.2013.11.010-
dc.author.googleJin, CY-
dc.author.googleRyu, KH-
dc.author.googleSung, SW-
dc.author.googleLee, J-
dc.author.googleLee, IB-
dc.relation.volume24-
dc.relation.issue1-
dc.relation.startpage113-
dc.relation.lastpage128-
dc.contributor.id10104673-
dc.relation.journalJOURNAL OF PROCESS CONTROL-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationJOURNAL OF PROCESS CONTROL, v.24, no.1, pp.113 - 128-
dc.identifier.wosid000333226600011-
dc.date.tcdate2019-01-01-
dc.citation.endPage128-
dc.citation.number1-
dc.citation.startPage113-
dc.citation.titleJOURNAL OF PROCESS CONTROL-
dc.citation.volume24-
dc.contributor.affiliatedAuthorLee, IB-
dc.identifier.scopusid2-s2.0-84890520082-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc18-
dc.description.scptc25*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordPlusFREQUENCY-RESPONSE DATA-
dc.subject.keywordPlusCONTROLLERS-
dc.subject.keywordPlusSPECIFICATIONS-
dc.subject.keywordPlusPHASE-
dc.subject.keywordAuthorFractional order plus time delay model-
dc.subject.keywordAuthorAuto-tuning-
dc.subject.keywordAuthorProcess identification-
dc.subject.keywordAuthorModel reduction-
dc.subject.keywordAuthorPID tuning rule-
dc.relation.journalWebOfScienceCategoryAutomation & Control Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Chemical-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaAutomation & Control Systems-
dc.relation.journalResearchAreaEngineering-

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이인범LEE, IN BEUM
Dept. of Chemical Enginrg
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