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Please use this identifier to cite or link to this item: http://142.54.178.187:9060/xmlui/handle/123456789/888
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dc.contributor.authorRose, Lina-
dc.contributor.authorD., Pamela-
dc.contributor.authorStanley, P. Kingston-
dc.contributor.authorDaniel, P. Vijay-
dc.date.accessioned2019-11-05T09:37:11Z-
dc.date.available2019-11-05T09:37:11Z-
dc.date.issued2019-10-01-
dc.identifier.issn1819-6608-
dc.identifier.urihttp://142.54.178.187:9060/xmlui/handle/123456789/888-
dc.description.abstractA model based approach was chosen for such a complex MIMO system is due to the restrictions the system bear in terms of control variables. Though the process simply refers to separation of two or more liquid or vapor components, the process flow and the component fractions really has to be identified since that determines the quality of the distillate. A pure modeling concept for a sophisticated process like distillation column is demonstrated in this study. It’s a complex task to model the distillation column and control the parameters since the process is a multiple input multiple output (MIMO) system. Hence only based on many assumptions about many of the control variables the response can be found. The work has been extended to modeling and control of various parts of column such as reflux drum and feed tray. Fuzzy Control of Reflux Drum was carried out where, the analysis of approximate data has done as a case study due to lack of industrial informationen_US
dc.language.isoen_USen_US
dc.subjectEngineering and Technologyen_US
dc.subjectNonlinear processesen_US
dc.subjectVolatilityen_US
dc.subjectRectifying sectionen_US
dc.subjectFuzzy controlen_US
dc.subjectModelingen_US
dc.titleMODELING OF DISTILLATION COLUMN AND INTELLIGENT CONTROL OF REFLUX DRUMen_US
dc.typeArticleen_US
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