Multivariable adaptive decoupling temperature control of a thermo-analyzer

Bobál, Vladimír; Macháček, Jiří; Dostál, Petr

dc.title	Multivariable adaptive decoupling temperature control of a thermo-analyzer	en
dc.contributor.author	Bobál, Vladimír
dc.contributor.author	Macháček, Jiří
dc.contributor.author	Dostál, Petr
dc.relation.ispartof	IME Proceedings. Part I: Journal of Systems and Control Engineering
dc.identifier.issn	0959-6518 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued	2001
utb.relation.volume	215
utb.relation.issue	4
dc.citation.spage	365
dc.citation.epage	374
dc.type	article
dc.language.iso	en
dc.publisher	Institution of Mechanical Engineers (IMCHE)	en
dc.identifier.doi	10.1177/095965180121500409
dc.relation.uri	http://pii.sagepub.com/content/215/4/365.full.pdf+html
dc.subject	mnoharozměrové řízení	cs
dc.subject	autonomní řízení	cs
dc.subject	samočinně se nastavující regulátor	cs
dc.subject	rekurzivní identifikace	cs
dc.subject	metoda konečného počtu kroků	cs
dc.subject	termoanalyzátor	cs
dc.subject	multivariable control	en
dc.subject	decoupling	en
dc.subject	self-tuning controller	en
dc.subject	recursive identification	en
dc.subject	deadbeat method	en
dc.subject	thermo-analyzer	en
dc.description.abstract	This paper deals with multivariable self-tuning temperature control of a thermo-analyzer. The decoupling method is used and the parameters of two independent controllers are derived using the deadbeat approach with reference signal tracking. The recursive least squares method (RLSM) with LD decomposition and directional forgetting is used to estimate the parameters of the process model. This multivariable controller has been designed specially for technological processes where process output variables without overshoot are desired and reference signals are changed with steps and linear increasing.	en
utb.faculty	Faculty of Technology
dc.identifier.uri	http://hdl.handle.net/10563/1000013
utb.identifier.rivid	RIV/70883521:28110/01:00000012
utb.identifier.obdid	11051918
utb.identifier.scopus	2-s2.0-0035736395
utb.identifier.wok	000172305100009
utb.source	j-riv
utb.contributor.internalauthor	Bobál, Vladimír
utb.contributor.internalauthor	Dostál, Petr
utb.fulltext.affiliation	V Bobál1, J Macháček2 and P Dostál1 1 Department of Control Theory, Institute of Information Technologies, Tomas Bata University in Zlín, Czech Republic 2 Department of Process Control and Computer Technique, Faculty of Chemical Technology, University of Pardubice, Czech Republic Corresponding author: Department of Control Theory, Institute of Information Technologies, Tomas Bata University in Zlín, Nám. T G Masaryka 275, 762 72 Zlín, Czech Republic.
utb.fulltext.dates	The MS was received on 25 October 2000 and was accepted after revision for publication on 22 January 2001.
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utb.fulltext.sponsorship	This work was supported in part by the Grant Agency of the Czech Republic under Grants 102/99/1292 and 102/00/0526 and in part by the Ministry of Education of the Czech Republic under Grant MSM 2811 00001.
utb.fulltext.projects	GACR 102/99/1292
utb.fulltext.projects	GACR 102/00/0526
utb.fulltext.projects	MSM 2811 00001
utb.fulltext.faculty	Institute of Information Technologies
utb.fulltext.faculty	Institute of Information Technologies
utb.fulltext.ou	Department of Control Theory
utb.fulltext.ou	Department of Control Theory