Semi-batch reactor predictive control using artificial neural network

Sámek, David; Macků, Lubomír

dc.title	Semi-batch reactor predictive control using artificial neural network	en
dc.contributor.author	Sámek, David
dc.contributor.author	Macků, Lubomír
dc.relation.ispartof	2008 Mediterranean Conference on Control Automation, Vols 1-4
dc.identifier.isbn	978-1-4244-2504-4
dc.date.issued	2008
dc.citation.spage	1035
dc.citation.epage	1040
dc.event.title	16th Mediterranean Conference on Control and Automation
dc.event.location	Ajaccio
utb.event.state-en	France
utb.event.state-cs	Francie
dc.event.sdate	2008-06-25
dc.event.edate	2008-06-27
dc.type	conferenceObject
dc.language.iso	en
dc.publisher	The Institute of Electrical and Electronics Engineers (IEEE)	en
dc.identifier.doi	10.1109/MED.2008.4602140
dc.relation.uri	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4602140
dc.description.abstract	This paper deals with model predictive control (MPC) of chemical exothermic semi-batch reactor. A first order chemical reaction is considered to be running in the reactor. The reaction is strongly exothermic so the in-reactor temperature is rising very fast due to reaction component dosing. Thus, the temperature control is necessary. The simulation model of the plant was developed in the MATLAB/Simulink. The system is nonlinear because of chemical reaction kinetics, so its control is difficult by classical methods. The classical MPC objective function was modified in order to improve the control. The WC controller uses an artificial neural network as a predictor.	en
utb.faculty	Faculty of Technology
dc.identifier.uri	http://hdl.handle.net/10563/1001890
utb.identifier.rivid	RIV/70883521:28110/08:63507443!RIV09-MSM-28110___
utb.identifier.obdid	18553162
utb.identifier.scopus	2-s2.0-52949141858
utb.identifier.wok	000261534400173
utb.source	d-wok
dc.date.accessioned	2011-08-09T07:34:09Z
dc.date.available	2011-08-09T07:34:09Z
utb.contributor.internalauthor	Sámek, David
utb.contributor.internalauthor	Macků, Lubomír
utb.fulltext.affiliation	David Samek and Lubomir Macku D. Samek is with the Department of Production Engineering, Faculty of Technology, Tomas Bata University in Zlin, Mostni 5139, 76001 Zlin, Czech Republic (corresponding author to provide phone: +420-576-035-157; fax: +420-576-035-176; e-mail: samek@ft.utb.cz). L. Macku is with the Department of Electrotechnics and Measurements, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, 76005 Zlin, Czech Republic (e-mail: macku@fai.utb.cz).
utb.fulltext.dates	Manuscript received January 2, 2008
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utb.fulltext.sponsorship	This work was supported by the Grant Agency of the Czech Republic under grant 102/07/P137 and by the Ministry of Education, Youth and Sports of the Czech Republic under grant MSM 7088352102. This support is gratefully acknowledged.
utb.fulltext.projects	GACR 102/07/P137
utb.fulltext.projects	MSM 7088352102