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Linear predictive control of nonlinear time-delayed model of liquid-liquid stirred heat exchanger

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dc.title Linear predictive control of nonlinear time-delayed model of liquid-liquid stirred heat exchanger en
dc.contributor.author Holiš, Radek
dc.contributor.author Bobál, Vladimír
dc.relation.ispartof Proceedings - 30th European Conference on Modelling and Simulation, ECMS 2016
dc.identifier.isbn 978-099324402-5
dc.date.issued 2016
dc.citation.spage 300
dc.citation.epage 306
dc.event.title 30th European Conference on Modelling and Simulation, ECMS 2016
dc.event.location Regensburg
utb.event.state-en Germany
utb.event.state-cs Německo
dc.event.sdate 2016-05-31
dc.event.edate 2016-06-03
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation (ECMS)
dc.identifier.doi 10.7148/2016-0300
dc.relation.uri http://www.scs-europe.net/dlib/2016/2016-0300.htm
dc.relation.uri http://www.scs-europe.net/dlib/2016/ecms2016acceptedpapers/0300-mct_ECMS_0028.pdf
dc.subject Control simulation en
dc.subject Heat exchanger en
dc.subject Model predictive control en
dc.subject MPC en
dc.subject Nonlinear model en
dc.subject Nonlinear system en
dc.subject Parameter estimation en
dc.subject Time delay en
dc.description.abstract Many nonlinear processes in industry exhibit time delay in their dynamic behavior. Time delay is mainly caused by the time required to transport energy, information or mass, but it can be caused by processing time as well. There are also many cases when compensation of measurable disturbance is required. In case, when the nonlinearity of system is not significant, it can be controlled by linear control method, but accurate system identification in the operating area should be performed. Moreover the suitable control algorithm, which is able to handle these requirements, should be used. In light of these facts, the goal of this paper is to design predictive algorithm for control of nonlinear time-delayed systems with the possibility of measurable disturbance compensation. Basically this paper deals with the essential principles of model predictive control (MPC), design process of the predictive controller, calculation of control law and identification of control process. Identification of control process is also an important part of MPC. This paper describes simulation and verification of designed regulator which was verified in MATLAB/SIMULINK as well. © ECMS Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose (Editors). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006600
utb.identifier.obdid 43875868
utb.identifier.scopus 2-s2.0-84978736606
utb.identifier.wok 000386310800042
utb.source d-scopus
dc.date.accessioned 2016-09-21T13:12:23Z
dc.date.available 2016-09-21T13:12:23Z
utb.contributor.internalauthor Holiš, Radek
utb.contributor.internalauthor Bobál, Vladimír
utb.fulltext.affiliation Radek Holiš, Vladimír Bobál Department of Process Control Faculty of Applied Informatics, Tomas Bata University in Zlin Nad Stráněmi 4511, Zlin 76005, Czech Republic E-mail: rholis@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Process Control
utb.fulltext.ou Department of Process Control
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