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Predictive control of a series of multiple liquid tanks substituted by a single dynamics with time-delay

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dc.title Predictive control of a series of multiple liquid tanks substituted by a single dynamics with time-delay en
dc.contributor.author Talaš, Stanislav
dc.contributor.author Bobál, Vladimír
dc.contributor.author Krhovják, Adam
dc.contributor.author Rušar, Lukáš
dc.relation.ispartof Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017
dc.identifier.isbn 9780993244049
dc.date.issued 2017
dc.citation.spage 374
dc.citation.epage 378
dc.event.title 31st European Conference on Modelling and Simulation, ECMS 2017
dc.event.location Budapest
utb.event.state-en Hungary
utb.event.state-cs Maďarsko
dc.event.sdate 2017-05-23
dc.event.edate 2017-05-26
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation
dc.identifier.doi 10.7148/2017-0374
dc.relation.uri http://www.scs-europe.net/dlib/2017/2017-0374.htm
dc.relation.uri http://www.scs-europe.net/dlib/2017/ecms2017acceptedpapers/0374-mct_ECMS2017_0047.pdf
dc.subject Time-delay en
dc.subject Predictive control en
dc.subject flow liquid level control en
dc.description.abstract The article focuses on control of a system consisting of a series of liquid tanks. Accumulation of individual dynamics causes, that the overall system exhibits high order behaviour. Another effect is a summation of slow responses of individual systems on an input signal leading to a significant time gap in reaction time of the whole system. In order to make control operations more straightforward and increase calculation speed, the mathematical description of gathered dynamics was approximated into a simplified form containing timedelay. The resulting form of the system is regulated by a predictive controller with time-delay compensation. The whole process is simulated in the Matlab environment. © ECMS Zita Zoltay Paprika, Péter Horák, Kata Váradi,Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics (Editors). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007252
utb.identifier.obdid 43877161
utb.identifier.scopus 2-s2.0-85021835567
utb.identifier.wok 000404420000056
utb.source d-scopus
dc.date.accessioned 2017-09-03T21:40:06Z
dc.date.available 2017-09-03T21:40:06Z
dc.description.sponsorship Internal Grant Agency of Tomas Bata University [IGA/FAI/2017/009]
utb.contributor.internalauthor Talaš, Stanislav
utb.contributor.internalauthor Bobál, Vladimír
utb.contributor.internalauthor Krhovják, Adam
utb.contributor.internalauthor Rušar, Lukáš
utb.fulltext.affiliation Stanislav Talaš, Vladimír Bobál, Adam Krhovják and Lukáš Rušar Tomas Bata University in Zlin Department of Process Control, Faculty of Applied Informatics T. G. Masaryka 5555 760 01 Zlin Czech Republic E-mail: talas@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.references Angeli, D.; Amrit, R. and Rawlings, J. B. 2012. “On Average Performance and Stability of Economic Model Predictive Control.” IEEE Transactions on Automatic Control, 57 (7), 1615-1626. Bobál, V.; Talaš, S. and Kubalčík, M. 2016. “LQ Digital Control of Coupled Liquid Level Equal Atmospheric Tanks – Design and Simulation.” WSEAS Transactions on Heat and Mass Transfer (11), 62-71. Kubalčík, M. and Bobál, V. 2012. “Predictive Control of Higher Order Systems Approximated by Lower Order Time-Delay Models.” WSEAS Transactions on Systems, 10 (11), 607-616. Kvasnica, M. 2010. Real-Time Model Predictive Control via Multi-Parametric Programming. Saarbrücken, VDM Verlag Dr. Müller Aktiengesellschaft & Co. KG. Morari, M. and Lee, J. H. 1998. “Model predictive control: past, present, future.” Computers and Chemical Engineering, 23, 667-682. Normey-Rico J. E. and E. F. Camacho 2007. Control of dead-time processes. London, Springer-Verlag. Richard, J.P. 2003. “Time-delay systems: an overview of some recent advances and open problems.” Automatica, 39, 1667-1694. Wang, Y. and Boyd, S. 2009. “Fast Model Predictive Control Using Online Optimization.” IEEE Transactions on Control Systems Technology, 18 (2), 267-278.
utb.fulltext.sponsorship This paper was supported by Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2017/009.
utb.scopus.affiliation Tomas Bata University in Zlin, Department of Process Control, Faculty of Applied Informatics, T. G. Masaryka 5555, Zlin, Czech Republic
utb.fulltext.projects IGA/FAI/2017/009
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