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Optimal State Estimation in the Transesterification Stage of a Continuous Polyethylene Terephthalate Condensation Polymerization Process.

dc.contributor.authorChoi, Kyu Y.en_US
dc.contributor.authorKhan, Afeef A.en_US
dc.date.accessioned2007-05-23T09:37:27Z
dc.date.available2007-05-23T09:37:27Z
dc.date.issued1987en_US
dc.identifier.urihttp://hdl.handle.net/1903/4580
dc.description.abstractThis paper describes an application of the extended Kalman filter algorithm to the state estimation of the melt transesterification stage of a continuous polyethylene terephthalate condensation polymerization process. When only two on-line measurements of reaction variables are used for state estimation, the prediction of reaction rates and product concentrations are unsatisfactory. When such limited on-line measurements are supplemented by five additional off-line measurements of various functional group concentrations, the system is completely observable and the overall performance of the state estimator is greatly improved. It has been shown that the analysis delay of 24 hours is quite adequate for accurate state estimation of the process. In particular, the concentration of unwanted side product such as diethylene glycol (DEG) was predicted precisely. The simulation results indicate that the extended Kalman filter can be used successfully with a dynamic transesterification process model for precise control of reaction product quality.en_US
dc.format.extent1059241 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1987-72en_US
dc.titleOptimal State Estimation in the Transesterification Stage of a Continuous Polyethylene Terephthalate Condensation Polymerization Process.en_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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