Application of nonlinear model predictive control based on different models to batch polymerization reactor

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dc.contributor.authorCetinkaya, Sevil
dc.contributor.authorAnakli, Duygu
dc.contributor.authorZeybek, Zehra
dc.contributor.authorHapoglu, Hale
dc.contributor.authorAlpbaz, Mustafa
dc.date.accessioned2024-10-26T17:54:28Z
dc.date.available2024-10-26T17:54:28Z
dc.date.issued2011
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractIn the present work, at the previously determined optimal conditions, to control batch polymerization reactor, Linear Generalized Predictive Control (LGPC) and Nonlinear Generalized Predictive Control (NLGPC) algorithm were utilized. Several system models were applied to the control algorithms. The effect of different optimal conditions has been examined on monomer conversion, average viscosity molecular weight and chain length. At the same operating conditions of LGPC and NLGPC temperature control was used for comparison. According to the experimental results, the performance of NLGPC was obtained well than LGPC control method. In addition, the results denoted that the NLGPC control performances depend on different models and the optimum conditions.
dc.identifier.endpage155
dc.identifier.issn2305-2139
dc.identifier.scopus2-s2.0-84896955213
dc.identifier.scopusqualityN/A
dc.identifier.startpage148
dc.identifier.urihttps://hdl.handle.net/20.500.12418/27241
dc.identifier.volume1
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherI3M Conference
dc.relation.ispartofInternational Conference on Integrated Modeling and Analysis in Applied Control and Automation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectGeneralized predictive control; Nonlinear model predictive control; Styrene polymerization
dc.titleApplication of nonlinear model predictive control based on different models to batch polymerization reactor
dc.typeArticle

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