State Estimation Model Based Algorithm for On-line Optimization and Control of Batch Processes

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dc.contributor.authorGattu, Gangadharen_US
dc.contributor.authorZafiriou, Evanghelosen_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T09:56:27Z
dc.date.available2007-05-23T09:56:27Z
dc.date.issued1994en_US
dc.description.abstractBatch/semi-batch processes are highly nonlinear and involve complex reaction mechanisms. Model-plant mismatch always exists. The lack of rapid direct or indirect measurements of the properties to be controlled makes the control task difficult. It is the usual practice to follow the prespecified setpoint profiles for process variables for which measurements are available, in order to obtain desired product properties. Modeling error can be the cause of bad performance when optimal profiles computed for the model, are implemented on the actual plant. In this paper, a state estimation model based algorithm is presented for on-line modification of the optimal profile and control with the goal of obtaining the desired properties at the minimum batch time. The effectiveness of the algorithm is demonstrated by its application to bulk polymerization of styrene.en_US
dc.format.extent473551 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/5506
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1994-26en_US
dc.subjectchemical process controlen_US
dc.subjectoptimizationen_US
dc.subjectpolymerizationen_US
dc.subjectpredictive controlen_US
dc.subjectChemical Process Systemsen_US
dc.titleState Estimation Model Based Algorithm for On-line Optimization and Control of Batch Processesen_US
dc.typeTechnical Reporten_US

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