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Measurable error compensation with GPC in a heat-exchanger with a traffic delay

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dc.title Measurable error compensation with GPC in a heat-exchanger with a traffic delay en
dc.contributor.author Talaš, Stanislav
dc.contributor.author Bobál, Vladimír
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-319-07400-9
dc.date.issued 2014
utb.relation.volume 289
dc.citation.spage 281
dc.citation.epage 290
dc.event.title International conference on prediction, modeling and analysis of complex systems, NOSTRADAMUS 2014
dc.event.location Ostrava
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2012-06-23
dc.event.edate 2012-06-25
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag
dc.identifier.doi 10.1007/978-3-319-07401-6_27
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-07401-6_27
dc.description.abstract This paper demonstrates use of Model Predictive Control (MPC) to system control with delay. Generalized Predictive Control (GPC) method was selected to demonstrate the ability to both control the system and compensate the measurable disturbance while bot the system and the disturbance are delayed. For the realization the MATLAB/SIMULINK program environment was used with system parameters based on the laboratory system. GPC method was chosen and its ability to compensate the outer disturbance with delay was verified by simulation of system control based on real laboratory model. Control algorithm and simulation were realized in MATLAB/SIMULINK program environment. Results have proven capabilities of GPC method to control and compensate error in stable, oscillatory and non-minimum phase systems with traffic delay. Additionally, real model parameters were selected to test a possibility of realization. © Springer International Publishing Switzerland 2014 en
utb.faculty Faculty of Applied Informatics
utb.faculty University Institute
dc.identifier.uri http://hdl.handle.net/10563/1004568
utb.identifier.obdid 43872088
utb.identifier.scopus 2-s2.0-84927616508
utb.source d-scopus
dc.date.accessioned 2015-05-28T11:39:23Z
dc.date.available 2015-05-28T11:39:23Z
utb.ou Centre of Polymer Systems
utb.contributor.internalauthor Talaš, Stanislav
utb.contributor.internalauthor Bobál, Vladimír
utb.fulltext.affiliation Stanislav Talaš 1 and Vladimír Bobál 1,2 1 Tomas Bata University in Zlín, Department of Process Control, Faculty of Applied Informatics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic 2 Tomas Bata University in Zlín, Centre of Polymer Systems, University Institute, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic {talas,bobal}@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This article was created with support of Operational Programme Research and Development for Innovations co-funded by European Regional Development Fund (ERDF), national budget of Czech Republic within the framework of the Centre of Polymer Systems project (reg. number: CZ.1.05/2.1.00/03.0111) and in part with support of the Ministry of Education of the Czech Republic under grant No. IGA/FAI/2014/029.
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