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Adaptive control of isothermal reactor with complex reaction

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dc.title Adaptive control of isothermal reactor with complex reaction en
dc.contributor.author Vojtěšek, Jiří
dc.contributor.author Gazdoš, František
dc.contributor.author Dostál, Petr
dc.relation.ispartof 21st European Conference on Modelling and Simulation ECMS 2007: Simulations in United Europe
dc.identifier.isbn 978-0-9553018-2-7
dc.date.issued 2007
dc.citation.spage 410
dc.citation.epage 414
dc.event.title 21st European Conference on Modelling and Simulation
dc.event.location Prague
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2007-06-04
dc.event.edate 2007-06-06
dc.type conferenceObject
dc.language.iso en
dc.publisher European Council for Modelling and Simulation (ECMS) en
dc.relation.uri http://www.scs-europe.net/conf/ecms2007/ecms2007-cd/ecms2007/ecms2007%20pdf/mct_0098.pdf
dc.subject CSTR en
dc.subject adaptive control en
dc.subject polynomial approach en
dc.subject pole-placement method en
dc.subject recursive identification en
dc.description.abstract The role and importance of the simulation rises with the increasing speed of computers and simulation tools provided nowadays. Safety and less money and time demands gives a computer simulation big advantage over the experiments on a real system or its model. The paper deals with simulation of an adaptive control on a nonlinear system represented by a Continuous Stirred Tank Reactor (CSTR). This system is mathematically described by a set of Ordinary Differential Equations (ODE) which are first solved numerically to obtain steady-state and dynamic behaviour of the system. The adaptive control is based on the recursive identification of an External Linear Model (ELM) as a representation of the originally nonlinear system. The polynomial approach together with the pole-placement method gives sufficient control results although the system has negative control properties. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001945
utb.identifier.obdid 15553041
utb.identifier.scopus 2-s2.0-84857512992
utb.identifier.wok 000252306400064
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:17Z
dc.date.available 2011-08-09T07:34:17Z
utb.contributor.internalauthor Vojtěšek, Jiří
utb.contributor.internalauthor Gazdoš, František
utb.contributor.internalauthor Dostál, Petr
utb.fulltext.affiliation Jiri Vojtesek, Frantisek Gazdos and Petr Dostal Faculty of Applied Informatics Tomas Bata University in Zlin Nad Stranemi 4511, 760 05 Zlin, Czech Republic E-mail: {vojtesek,gazdos,dostalp}@fai.utb.cz AUTHOR BIOGRAPHIES JIRI VOJTESEK was born in Zlin, Czech Republic and studied at the Tomas Bata University in Zlin, where he got his master degree in chemical and process engineering in 2002. Now he is about to finish his Ph.D. which is focused on Modern control methods for chemical reactors. You can conctact him on email address vojtesek@fai.utb.cz. FRANTISEK GAZDOS was born in Zlin, Czech Republic, and graduated from the Technical University of Brno in 1999 with MSc. degree in Automation. He then followed studies of Technical cybernetics at the Tomas Bata University in Zlin, obtaining Ph.D. degree in 2004. Now he works as a senior lecturer (technological process control, state-space and algebraic approach to control system design) in the Department of Process Control, Faculty of Applied Informatics of the same University. E-mail: gazdos@fai.utb.cz. PETR DOSTAL studied at the Technical University of Pardubice, where he obtained his master degree in 1968 and PhD. degree in Technical Cybernetics in 1979. In the year 2000 he became professor in Process Control. He is now head of the Department of Process Control. His research interest are modeling and simulation of continuous-time chemical processes, polynomial methods, optimal, adaptive and robust control. You can contact him on email address dostalp@fai.utb.cz.
utb.fulltext.dates -
utb.fulltext.references Bobal, V., Böhm, J., Fessl, J. Machacek, J 2005. Digital Self-tuning Controllers: Algorithms, Implementation and Applications. Springer-Verlag London Limited Fikar, M., Mikles J. 1999. System Identification. STU Bratislava Ingham, J., Dunn, I. J., Heinzle, E., Přenosil, J. E. 2000. Chemical Engineering Dynamics. An Introduction to Modeling and Computer Simulation. Second, Completely Revised Edition, VCH Verlagsgesellshaft, Weinheim. Johnston, R. L. 1982. Numerical Methods. John Wiley & Sons, New York Kucera, V. 1993. Diophantine equations in control – A survey. Automatica, 29, 1361-1375 Mukhopadhyay, S., Patra, A.G., Rao, G.P. 1992. New class of discrete-time models for continuous-time systems. International Journal of Control, vol.55, 1161-1187 Russell, T. W. F. and Denn, M. M. 1972. Introduction to chemical engineering analysis. Wiley, McGraw-Hill Stericker, D.L., Sinha, N.K. 1993. Identification of continuous-time systems from samples of input-output data using the δ-operator. Control-Theory and Advanced Technology, vol. 9, 113-125 Zelinka, I., Vojtesek, J. and Oplatkova Z. 2006. Simulation Study of the CSTR Reactor for Control Purposes. In: Proc. of 20th European Conference on Modelling and Simulation ESCM 2006. Bonn, Germany, p. 479-482
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