Model predictive temperature control in long ducts by means of a neural network approximation tool

dc.contributor.author	Αγγελογιαννάκη, Ελένη	el
dc.contributor.author	Σαρίμβεης, Χαράλαμπος Κ.	el
dc.contributor.author	Κουμπογιάννης, Δημήτριος Γ.	el
dc.date.accessioned	2015-06-07T19:59:30Z
dc.date.available	2015-06-07T19:59:30Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15543
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.scopus.com/record/display.url?eid=2-s2.0-34248524084&origin=resultslist&sort=plf-f&src=s&sid=62A9054A815E25F2D3896574D4CE2724.fM4vPBipdL1BpirDq5Cw%3a10650&sot=autdocs&sdt=autdocs&sl=17&s=AU-ID%286507485349%29&relpos=0&relpos=0&citeCnt=19&searchTerm=	en
dc.subject	Προσέγγιση θεωρίας
dc.subject	Υπολογιστικές μέθοδοι
dc.subject	Μοντέλο πρόβλεψης ελέγχου
dc.subject	Μη Γραμμικά Συστήματα
dc.subject	έλεγχος της θερμοκρασίας
dc.subject	Approximation theory
dc.subject	Computational methods
dc.subject	Model predictive control
dc.subject	Nonlinear systems
dc.subject	Temperature control
dc.title	Model predictive temperature control in long ducts by means of a neural network approximation tool	en
heal.type	journalArticle
heal.classification	Τεχνολογία
heal.classification	Μηχανική
heal.classification	Technology
heal.classification	Engineering
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Μηχανική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://skos.um.es/unescothes/C01363
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85006190
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh96001350
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85133715
heal.identifier.secondary	DOI: 10.1016/j.applthermaleng.2007.03.005
heal.language	en
heal.access	campus
heal.recordProvider	Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Ενεργειακής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2007-10
heal.bibliographicCitation	Aggelogiannaki, E., Sarimveis, H., and Koubogiannis, D. (2007) Model predictive temperature control in long ducts by means of a neural network approximation tool. Applied Thermal Engineering. [Online] 27 (14-15), pp.2363-2369. Available from: http://www.scopus.com [Accessed 07/06/2015]	en
heal.abstract	In this paper, a nonlinear model predictive control (MPC) configuration for hyperbolic distributed thermal systems is presented and applied in the flow-based temperature control in a long duct. At first, a radial basis function neural network is developed to estimate the temperature distribution along the duct with respect to flow velocity, assuming constant ambient temperature. The nonlinear model is then incorporated in the context of an MPC procedure. The use of the neural network model avoids the spatial discretization and decreases significantly the computational effort required to solve the optimization problem that is formulated in real time, compared to conventional modeling approaches. The proposed MPC scheme is able to overcome delay effects and accelerates the outlet temperature response. Reduced tuning effort is another advantage of the proposed control scheme.	en
heal.publisher	Elsevier	en
heal.journalName	Applied Thermal Engineering	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true