Tuning smith predictors using simple formulas derived from optimal responses

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dc.authoridKAYA, Ibrahim/0000-0002-8393-1358
dc.authorwosidKAYA, Ibrahim/E-9144-2018
dc.contributor.authorKaya, I
dc.date.accessioned2024-08-04T20:12:19Z
dc.date.available2024-08-04T20:12:19Z
dc.date.issued2001
dc.departmentİnönü Üniversitesien_US
dc.description.abstractGood control of processes with long dead time is often achieved using a Smith predictor configuration. However, not much work has been carried out on obtaining simple tuning rules for a Smith predictor scheme. This paper develops optimal analytical tuning formulas for proportional-integral-derivative (PID) controllers in a Smith predictor configuration assuming perfect matching. Exact limit cycle analysis has been used to estimate the unknown parameters of a first-order plus dead time (FOPDT) or second-order plus dead time (SOPDT) plant transfer function. Simple analytical tuning rules based on these FOPDT and SOPDT are then derived which can be used to tune a PID controller in a Smith predictor scheme. Some examples are given to show the value of the approach presented.en_US
dc.identifier.doi10.1021/ie000194r
dc.identifier.endpage2659en_US
dc.identifier.issn0888-5885
dc.identifier.issue12en_US
dc.identifier.scopus2-s2.0-0035853896en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage2654en_US
dc.identifier.urihttps://doi.org/10.1021/ie000194r
dc.identifier.urihttps://hdl.handle.net/11616/93355
dc.identifier.volume40en_US
dc.identifier.wosWOS:000169279200012en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAmer Chemical Socen_US
dc.relation.ispartofIndustrial & Engineering Chemistry Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDead-Timeen_US
dc.subjectRelay Feedbacken_US
dc.subjectIdentificationen_US
dc.subjectControllersen_US
dc.titleTuning smith predictors using simple formulas derived from optimal responsesen_US
dc.typeArticleen_US

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