Recursive least squares identification of heat exchanger system using block-structured models

Gupta, Saurav; Padhee, Subhransu; Pekař, Libor

dc.title	Recursive least squares identification of heat exchanger system using block-structured models	en
dc.contributor.author	Gupta, Saurav
dc.contributor.author	Padhee, Subhransu
dc.contributor.author	Pekař, Libor
dc.relation.ispartof	Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
dc.identifier.issn	0959-6518 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2021
dc.type	article
dc.language.iso	en
dc.publisher	SAGE Publications Ltd
dc.identifier.doi	10.1177/09596518211054921
dc.relation.uri	https://journals.sagepub.com/doi/10.1177/09596518211054921
dc.subject	Wiener model	en
dc.subject	Hammerstein model	en
dc.subject	heat exchanger	en
dc.subject	recursive parameter estimation	en
dc.description.abstract	This study provides a recursive parametric identification scheme for a liquid-saturated steam heat exchanger system. The recursive identification scheme uses block-structured Wiener and Hammerstein models as model structure and recursive least squares estimation scheme as the parameter estimation method. The estimated block-oriented model provides higher accuracy of estimation than linear models provided in the literature. From the simulation results, it is observed that the Wiener model can provide 88% goodness-of-FIT, whereas Hammerstein model can provide 96% goodness-of-FIT using the said technique. © IMechE 2021.	en
utb.faculty	Faculty of Applied Informatics
dc.identifier.uri	http://hdl.handle.net/10563/1010673
utb.identifier.obdid	43884278
utb.identifier.scopus	2-s2.0-85119405831
utb.identifier.wok	000720769700001
utb.identifier.coden	PMJEE
utb.source	j-scopus
dc.date.accessioned	2021-12-02T12:03:15Z
dc.date.available	2021-12-02T12:03:15Z
dc.description.sponsorship	College of Polytechnics Jihlava [1170/10/2137]
utb.ou	Department of Automation and Control Engineering
utb.contributor.internalauthor	Pekař, Libor
utb.fulltext.affiliation	Saurav Gupta1 , Subhransu Padhee2, and Libor Pekar3 1 School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai, India , email: greater.saurav@gmail.com 2 Department of Electrical and Electronics Engineering, Aditya Engineering College, Surampalem, Andhra Pradesh, India , email: subhransupadhee@gmail.com 3 Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, 76005 Zlin, Czech Republic 3 Department of Technical Studies, College of Polytechnics Jihlava, Tolstho 16, 58601 Jihlava, Czech Republic, email: pekar@utb.cz
utb.fulltext.dates	-
utb.fulltext.sponsorship	The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the College of Polytechnics Jihlava, under Grant No. 1170/10/2137.
utb.wos.affiliation	[Gupta, Saurav] Vellore Inst Technol, Sch Elect Engn SENSE, Chennai, Tamil Nadu, India; [Padhee, Subhransu] Sambalpur Univ, Dept Elect & Elect Engn, Inst Informat Technol, Burla 768019, Odisha, India; [Pekar, Libor] Tomas Bata Univ Zlin, Fac Appl Informat, Dept Automat & Control Engn, Zlin, Czech Republic; [Pekar, Libor] Coll Polytech Jihlava, Dept Tech Studies, Jihlava, Czech Republic
utb.scopus.affiliation	School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai, India; Department of Electrical and Electronics Engineering, Sambalpur University Institute of Information Technology, Burla, India; Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic; Department of Technical Studies, College of Polytechnics Jihlava, Jihlava, Czech Republic
utb.fulltext.projects	1170/10/2137
utb.fulltext.faculty	Faculty of Applied Informatics
utb.fulltext.ou	Department of Automation and Control Engineering