ENHANCING KAPPA NUMBER CONTROL IN DOWNFLOW LO-SOLIDSTM DIGESTER USING DIAGNOSIS AND MODELLING

Timo Ahvenlampi, Rami Rantanen

2007

Abstract

In this study, Kappa number prediction and diagnosis in continuous Downflow Lo-SolidsTM 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-SolidsTM cooking digester. Good results were achieved using the proposed approach.

Paper Citation

in Harvard Style

Ahvenlampi T. and Rantanen R. (2007). ENHANCING KAPPA NUMBER CONTROL IN DOWNFLOW LO-SOLIDSTM DIGESTER USING DIAGNOSIS AND MODELLING . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-972-8865-82-5, pages 161-166. DOI: 10.5220/0001626201610166

in Bibtex Style

@conference{icinco07,
author={Timo Ahvenlampi and Rami Rantanen},
title={ENHANCING KAPPA NUMBER CONTROL IN DOWNFLOW LO-SOLIDSTM DIGESTER USING DIAGNOSIS AND MODELLING},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2007},
pages={161-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001626201610166},
isbn={978-972-8865-82-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - ENHANCING KAPPA NUMBER CONTROL IN DOWNFLOW LO-SOLIDSTM DIGESTER USING DIAGNOSIS AND MODELLING
SN - 978-972-8865-82-5
AU - Ahvenlampi T.
AU - Rantanen R.
PY - 2007
SP - 161
EP - 166
DO - 10.5220/0001626201610166