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MODELING OF DISTILLATION COLUMN AND INTELLIGENT CONTROL OF REFLUX DRUM

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dc.contributor.author Rose, Lina
dc.contributor.author D., Pamela
dc.contributor.author Stanley, P. Kingston
dc.contributor.author Daniel, P. Vijay
dc.date.accessioned 2019-11-05T09:37:11Z
dc.date.available 2019-11-05T09:37:11Z
dc.date.issued 2019-10-01
dc.identifier.issn 1819-6608
dc.identifier.uri http://142.54.178.187:9060/xmlui/handle/123456789/888
dc.description.abstract A 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 information en_US
dc.language.iso en_US en_US
dc.subject Engineering and Technology en_US
dc.subject Nonlinear processes en_US
dc.subject Volatility en_US
dc.subject Rectifying section en_US
dc.subject Fuzzy control en_US
dc.subject Modeling en_US
dc.title MODELING OF DISTILLATION COLUMN AND INTELLIGENT CONTROL OF REFLUX DRUM en_US
dc.type Article en_US


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