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Subject Item
n2:RIV%2F70883521%3A28140%2F10%3A63509094%21RIV11-MSM-28140___
rdf:type
skos:Concept n13:Vysledek
dcterms:description
Chemical reactors are often characterized by highly nonlinear behaviour. In such a case the use of the conventional control strategies that employ PI or PID controllers with fixed parameters can result in poor performance. The combination of the simulation and experiments on the real model of the system was used here. Simulations have several advantages over experiments on the real system. Among them are the lower costs, increased safety and less time consumption. On the other hand, simulation results could sometimes are not very accurate. Steady-state analysis is usually the first step in the investigation of the system. The first control approach used in the work is the adaptive control which is based on recursive identification of the external linear model (ELM) originally nonlinear system. The second approach used in this work is the Generalized Predictive Control (GPC) where the future control sequence is computed by the minimizing the error between reference and output signal on the prediction h Chemical reactors are often characterized by highly nonlinear behaviour. In such a case the use of the conventional control strategies that employ PI or PID controllers with fixed parameters can result in poor performance. The combination of the simulation and experiments on the real model of the system was used here. Simulations have several advantages over experiments on the real system. Among them are the lower costs, increased safety and less time consumption. On the other hand, simulation results could sometimes are not very accurate. Steady-state analysis is usually the first step in the investigation of the system. The first control approach used in the work is the adaptive control which is based on recursive identification of the external linear model (ELM) originally nonlinear system. The second approach used in this work is the Generalized Predictive Control (GPC) where the future control sequence is computed by the minimizing the error between reference and output signal on the prediction h
dcterms:title
Modern Control Methods for Chemical Reactors Modern Control Methods for Chemical Reactors
skos:prefLabel
Modern Control Methods for Chemical Reactors Modern Control Methods for Chemical Reactors
skos:notation
RIV/70883521:28140/10:63509094!RIV11-MSM-28140___
n3:aktivita
n14:V
n3:aktivity
V
n3:dodaniDat
n15:2011
n3:domaciTvurceVysledku
n9:4881885
n3:druhVysledku
n19:B
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
272139
n3:idVysledku
RIV/70883521:28140/10:63509094
n3:jazykVysledku
n18:eng
n3:klicovaSlova
CSTR; tubular chemical reactor; modelling; simulation; steady-state analysis; dynamic analysis; adaptive control; predictive control; polynomial methods
n3:klicoveSlovo
n4:predictive%20control n4:tubular%20chemical%20reactor n4:steady-state%20analysis n4:modelling n4:adaptive%20control n4:simulation n4:CSTR n4:dynamic%20analysis n4:polynomial%20methods
n3:kontrolniKodProRIV
[986FA8C91E6E]
n3:mistoVydani
Saarbrücken
n3:nazevEdiceCisloSvazku
1
n3:nazevZdroje
Modern Control Methods for Chemical Reactors
n3:obor
n6:BC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetStranKnihy
132
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n15:2010
n3:tvurceVysledku
Vojtěšek, Jiří
s:numberOfPages
132
n7:hasPublisher
Lambert Academic Publishing Saarbrücken
n12:isbn
978-3-8383-4006-7
n8:organizacniJednotka
28140