TBU Publications
Repository of TBU Publications

Simulation study of 1DOF hybrid adaptive control applied on isothermal continuous stirred-tank reactor

DSpace Repository

Show simple item record


dc.title Simulation study of 1DOF hybrid adaptive control applied on isothermal continuous stirred-tank reactor en
dc.contributor.author Vojtěšek, Jiří
dc.contributor.author Spaček, Ľuboš
dc.contributor.author Dostál, Petr
dc.relation.ispartof Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017
dc.identifier.isbn 9780993244049
dc.date.issued 2017
dc.citation.spage 446
dc.citation.epage 452
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 10.7148/2017-0446
dc.relation.uri http://www.scs-europe.net/dlib/2017/2017-0446.htm
dc.relation.uri http://www.scs-europe.net/dlib/2017/ecms2017acceptedpapers/0446-mct_ECMS2017_0101.pdf
dc.subject Simulation en
dc.subject Mathematical Model en
dc.subject Adaptive Control en
dc.subject Continuous Stirred-Tank Reactor en
dc.subject 1DOF en
dc.subject Polynomial Approach en
dc.description.abstract A Continuous Stirred-Tank Reactor is typical system with nonlinear behavior and lumped parameters. The mathematical model of this type of reactor is described by the set of nonlinear ordinary differential equations that are easily solvable with the use of numerical methods. The big advantage of the computer simulation is that once we have reliable mathematical model of the system we can do thousands of simulation experiments that are quicker, cheaper and safer then examination on the real system. The control approach used in this work is a hybrid adaptive control where an adaptation process is satisfied by the on-line recursive identification of the External Linear Model as a linear representation of the originally nonlinear system. The polynomial approach together with the Pole-placement method and spectral factorization satisfies basic control requirements such as a stability, a reference signal tracking and a disturbance attenuation. Moreover, these methods produce also relations for computing of controller's parameters. As a bonus, the controlled output could be affected by the choice of the root position in the Pole-placement method. The goal of this contribution is to show that proposed controller could be used for various outputs as this system provides five possible options. © 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/10563/1007258
utb.identifier.obdid 43877743
utb.identifier.scopus 2-s2.0-85021797270
utb.identifier.wok 000404420000067
utb.source d-scopus
dc.date.accessioned 2017-09-03T21:40:06Z
dc.date.available 2017-09-03T21:40:06Z
utb.contributor.internalauthor Vojtěšek, Jiří
utb.contributor.internalauthor Spaček, Ľuboš
utb.contributor.internalauthor Dostál, Petr
utb.fulltext.affiliation Jiri Vojtesek, Lubos Spacek and Petr Dostal Faculty of Applied Informatics Tomas Bata University in Zlin Nam. TGM 5555, 760 01 Zlin, Czech Republic E-mail: {vojtesek,lspacek}@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.references Åström, K.J.; Wittenmark, B. 1989. Adaptive Control. Addison Wesley. Reading. MA, 1989, ISBN 0-201-09720-6. Bobal, V.; Böhm, J.; Fessl, J.; Machacek, J. 2005 Digital Selftuning Controllers: Algorithms. Implementation and Applications. Advanced Textbooks in Control and Signal Processing. Springer-Verlag London Limited. 2005, ISBN 1-85233-980-2. Fikar, M.; J. Mikles 1999. System Identification. STU Bratislava Honc, D.; Dusek, F.; Sharma, R. 2014 “GUNT RT 010 Experimental Unit Modelling and Predictive Control Application”. In Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. New York : Springer, 2014, s. 175-184. ISBN 978-3-319-07400-9. Ingham, J.; Dunn, I. J.; Heinzle, E.; Prenosil, J. E. 2000 Chemical Engineering Dynamics. An Introduction to Modeling and Computer Simulation. Second. Completely Revised Edition. VCH Verlagsgesellshaft. Weinheim, 2000. ISBN 3-527-29776-6 Kucera, V. 1993. “Diophantine equations in control – A survey”. Automatica. 29, 1993, p. 1361-1375. Middleton, H.; Goodwin, G. C. 2004. Digital Control and Estimation - A Unified Approach. Prentice Hall. Englewood Cliffs, 2004, ISBN 0-13-211798-3 Mukhopadhyay, S.; Patra, A. G.; Rao, G. P. 1992 “New class of discrete-time models for continuos-time systems”. International Journal of Control, vol.55, 1992, 1161-1187 Rao, G. P.; Unbehauen, H. 2005 “Identification of continuoustime systems”. IEEE Process-Control Theory Application, 152, 2005, p.185-220. Russell, T.; Denn, M. M. 1972 “Introduction to chemical engineering analysis”. New York: Wiley, 1972, xviii, 502 p. ISBN 04-717-4545-6. 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, 1993, 113-125. Vojtesek, J. 2014 “Numerical Solution of Ordinary Differential Equations Using Mathematical Software”. In Advances in Intelligent Systems and Computing. Heidelberg: Springer-Verlag Berlin, p. 213-226. ISSN 2194-5357. ISBN 978-3-319-06739-1. Zelinka, I.; Vojtesek, J.; 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
utb.fulltext.sponsorship -
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, Nam. TGM 5555, Zlin, Czech Republic
Find Full text

Files in this item

Show simple item record