Enhancing kappa number control in downflow lo-solidstm digester using diagnosis and modelling
نویسندگان
چکیده
In this study, Kappa number prediction and diagnosis in continuous Downflow Lo-Solids cooking application is investigated. Gustafson’s Kappa number model is applied for the prediction of the blowline Kappa number. New cooking temperature set point is solved iteratively based on the difference between the predicted and target blow-line kappa numbers. The main active variables for the Kappa number are monitored using self-organizing map (SOM). The diagnosis and Kappa control are combined into a fault tolerant system. The data is collected from industrial continuous Downflow Lo-Solids cooking digester. Good results were achieved using the proposed approach.
منابع مشابه
Modelling of kappa number in Downflow Lo-Solids cooking using Gustafson’s model
N AN earlier study by the current authors, Gustafson’s model [1] has been applied to the modelling of the kappa number profile of a traditional Kamyr process [2]. In Downflow Lo-Solids cooking [3, 4] the process and flow conditions differ from the ones of the traditional Kamyr. The cooking reactions are, however, the same in both processes and more measurements and control variables are availab...
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