Observer based 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 model predictive control of an infrared drying process of a water based epoxy-amine painting. During the drying cycle, the control problem is to optimize the use of the process under constraints. This approach is based on a nonlinear dynamic unidirectional diffusional model of the infrared drying phenomena where both heat and mass transfers under shrinkage conditions are accounted for. To validate our approach, simulation results presented here deal with the minimization of the processing time while accounting for a constraint specified on a difference of humidity inside the sample.
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duf04-IWSID-Mumbai-paperSY152-talk.pdf (326.74 Ko)
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