A DYNAMIC MODEL WITH ON-LINE IDENTIFICATION FOR ROTARY SUGAR DRYING PROCESSES |
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Authors: | S Shahhosseini I T Cameron F Y Wang |
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Affiliation: |
a Department of Chemical Engineering, Iran University of Science and Technology, Tehran, Iran
b Department of Chemical Engineering, Computer Aided Process Engineering (CAPE) Centre The University of Queensland, Brisbane, Qld, Australia |
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Abstract: | A dynamic modelling methodology, which combines on-line variable estimation and parameter identification with physical laws to form an adaptive model for rotary sugar drying processes, is developed in this paper. In contrast to the conventional rate-based models using empirical transfer coefficients, the heat and mass transfer rates are estimated by using on-line measurements in the new model. Furthermore, a set of improved sectional solid transport equations with localized parameters is developed in this work to replace the global correlation for the computation of solid retention time. Since a number of key model variables and parameters are identified on-line using measurement data, the model is able to closely track the dynamic behaviour of rotary drying processes within a broad range of operational conditions. This adaptive model is validated against experimental data obtained from a pilot-scale rotary sugar dryer. The proposed modelling methodology can be easily incorporated into nonlinear model based control schemes to form a unified modelling and control framework. |
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Keywords: | Adaptive modelling Drying rate Dynamic validation Heat transfer Pilot plant Retention time |
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