Model predictive control of the water based painting drying using a humidity profile soft Sensor and a temperature measurement
Résumé
This paper deals with the constrained optimal control of an infrared drying process of a water based epoxy-amine painting. This approach is based on a nonlinear dynamic unidirectional diffusional model of infrared drying phenomena where both heat and mass transfers under shrinkage conditions are accounted for. The control problem is to minimize the processing time while accounting for any constraints for some of the characteristics (i.e. the temperature and the humidity profile) during the drying cycle. This is solved using a model predictive control framework where the nonlinear diffusional model is directly used in the control formulation. Such advanced controller requires the use of a soft-sensor (observer) in order to reconstruct the entire humidity profile according to the infrared flow applied, the measured temperature and the model.
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duf04-IDS-SaoPaulo-B-911-918-paper.pdf (131.06 Ko)
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duf04-IDS-SaoPaulo-B-911-918-poster.pdf (114.7 Ko)
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