Model based Control and Diagnostics strategies for a Continuous Pulp Digester, 18PaperCon

Kappa number, which essentially indicates the amount of lignin left in the pulp after cooking, is the most important physical quantity linked to the quality and economics of a Kraft‐pulp mill. Controlling the Kappa number is a difficult task mainly due to the naturally varying feedstock, significant residence time, insufficient measurements and complex nature of the delignification process. Moreover, faults such as screen clogging, hang‐ups and channeling in the process often occur and increase the operational costs considerably.

In this work, the possibility of feedforwarding the lignin content of incoming wood chips, by a near‐infrared spectroscopic measurement of one of the major process disturbances, to a model predictive controller, is investigated by means of modeling and simulation studies. Additionally, a simple Bayesian network based diagnostics approach is proposed to detect the continuous digester faults. 

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