Abstract
Cooking is the major process in the pulp mill and its proper control is very important to the pulp production. The cooking should be done to the best quality at the minimum cost. Usually, the best quality means the minimisation of variation in the quality variables. Quality variations must simultaneously compensate for the effects of several types of disturbances. The main objective is to guarantee the similar cooking history for all chip particles as they pass through the digester. This leads to decreased variation in pulp quality compared with the conventional control.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Haataja, K., Leiviskä, K. and Sutinen, R. (1997): Kappa-number estimation with neural networks. In: Proceedings of IMEKO World Congress, Finnish Society of Automation, Tampere, Finland, Volume XA, pp. 1–5
Juuso, E. K., Leiviskä K. (1995): A Development Environment for Industrial Applications of Fuzzy Control. In: Zimmermann, H.-J. (ed.): Proceedings of the Third European Congress on Intelligent Techniques and Soft Computing —EUFIT’95. Verlag Mainz, Aachen, Volume 2, pp. 796–803
Juuso, E. K. (1996): Linguistic Equations in System Development for Computational Intelligence. In: Zimmermann, H.-J. (ed.): Proceedings of the Fourth European Congress on Intelligent Techniques and Soft Computing —EUFIT96. Verkag Mainz, Aachen, Volume 2, pp. 1127–1131
Leiviskä, K. (1999): Process Control in Fiber Line. In Leiviskä, K. (ed.): Process Control. Papermaking Science and Technology, Book 14, Fapet Oy, Jyväskylä, Finland, pp. 73–99
Lemmetti, A., Leiviskä, K. and Sutinen R. (1998): Kappa-number Prediction Based on Cooking Liquor Measurement. Report A No 5, May 1998. Control Engineering Laboratory, University of Oulu, Oulu, Finland, 31 p
Murtovaara, S., Juuso, E. K., Sutinen, R., Leiviskä, K. (1998a): Modelling of Pulp Cooking Characteristics by Using Fuzzy Logic and Linguistic Equation Models. In: Proceedings of TOOLMET’98 — Tool Environments and Development Methods for Intelligent Systems. University of Oulu, Oulu, Finland, pp. 90–96
Murtovaara, S., Juuso, E. K., Sutinen, R., Leiviskä, K. (1998b): Neural Networks Modelling of Pulp Digester. In: Dourado, A. (ed.): Proceedings of CONTROLO’98, 3`d Portuguese Conference on Automatic Control. APCA, Portugal, pp. 627–630
Murtovaara, S., Leiviskä, K., Juuso, E., Sutinen, R. (1999): Modelling of Pulp Characteristics in Kraft Cooking. Report A No 9, Control Engineering Laboratory. University of Oulu, Oulu, Finland, 20 p
Sutinen, R., Furst, P., Joensuu, I. Leiviskä, K. (1990): Advanced Kamyr Digester Control. In: Proceedings of 24th EUCEPA Conference. SPCI, Stockholm, Sweden, pp. 253–264
Sutinen, R. (1996): Prediction of cooking results using neural networks. Automaatioväylä 5, pp. 19–22 (In Finnish)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Leiviskä, K., Juuso, E., Isokangas, A. (2001). Intelligent Modelling of Continuous Pulp Cooking. In: Leiviskä, K. (eds) Industrial Applications of Soft Computing. Studies in Fuzziness and Soft Computing, vol 71. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1822-2_10
Download citation
DOI: https://doi.org/10.1007/978-3-7908-1822-2_10
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-2488-9
Online ISBN: 978-3-7908-1822-2
eBook Packages: Springer Book Archive