Modeling and control of continuous digesters using the PLS methodology

dc.contributor.author	Αλεξανδρίδης, Αλέξανδρος Π.	el
dc.contributor.author	Σαρίμβεης, Χαράλαμπος Κ.	el
dc.contributor.author	Μπάφας, Γιώργος Β.	el
dc.date.accessioned	2015-06-04T13:50:29Z
dc.date.available	2015-06-04T13:50:29Z
dc.date.issued	2015-06-04
dc.identifier.uri	http://hdl.handle.net/11400/15062
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.tandfonline.com/	en
dc.subject	Continuous digester
dc.subject	Kappa number control
dc.subject	Kappa number prediction
dc.subject	Model predictive control
dc.subject	Partial least squares
dc.subject	Συνεχής αποδομητής
dc.subject	Μοντέλο πρόβλεψης ελέγχου
dc.title	Modeling and control of continuous digesters using the PLS methodology	en
heal.type	journalArticle
heal.classification	Technology
heal.classification	Electrical engineering
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρολογία Μηχανολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/18426-4
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρολογία Μηχανολογία
heal.identifier.secondary	DOI: 10.1080/00986440490464192
heal.language	en
heal.access	campus
heal.publicationDate	2004-10
heal.bibliographicCitation	ALEXANDRIDIS, A.P., SARIMVEIS, H.K. & BAFAS, G.V. (2004). Modeling and control of continuous digesters using the PLS methodology. Chemical Engineering Communications. [online] 191 (10). p. 1271-1284. Available from: http://www.tandfonline.com/[Accessed 10/08/2010]	en
heal.abstract	The partial least squares (PLS) methodology is a regression tool able to deal with two important problems in system identification: the noise contained in the industrial data and the correlations that are observed among the input variables. In this article, the PLS technique is applied on real industrial data to produce dynamical multi-input single-output (MISO) models of the behavior of the kappa number in a continuous digester with respect to the important input variables that can be measured on-line. The ultimate goal is the development of a model predictive control (MPC) scheme that can be used for keeping the kappa number of the produced pulp close to the desired set point. We show that a modification in the standard MPC algorithm is needed in order to take into account the correlations among the input variables.	en
heal.publisher	Taylor & Francis	en
heal.journalName	Chemical Engineering Communications	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true