Enhancing Controllability of Kappa Number Using Gray-Box Modeling

Autor:	U. Kortela, Rami Rantanen, Timo Ahvenlampi, Manne Tervaskanto
Rok vydání:	2004
Předmět:	Gray box testing Controllability Engineering Fuzzy clustering Artificial neural network business.industry Control theory Control system Fuzzy identification Experimental methods business Kappa number Algorithm
Zdroj:	IFAC Proceedings Volumes. 37:85-90
ISSN:	1474-6670
DOI:	10.1016/s1474-6670(17)30855-8
Popis:	In industrial digester control systems Kappa number models are often used. There are publications using both physical and experimental methods. In this study Kappa number is predicted in the top of the digester using both modelling techniques. Physical Kappa number model is taking into account the reaction kinetics and the experimental models are used in the prediction of the temperature and alkali profiles, which are used as inputs to the physical model. The comparison of the prediction is done with neural network model.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::56fb94e253194b13ecb27d54d1179fdc https://doi.org/10.1016/s1474-6670(17)30855-8 Zobrazit plný text záznamu