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Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F13%3A43870929%21RIV14-MSM-28140___
rdf:type
skos:Concept n11:Vysledek
dcterms:description
Two different approaches are used to control a semi-batch nonlinear reactor dealing with the significant exothermic reaction. This paper compares evolutionary approach represented by the Self - Organizing Migrating Algorithm (SOMA) with PID pole placement controller (PIDPP). The aim of controlled process is to regenerate the largest amount of chromium filter cake (chromium sludge) in the shortest possible time. For safety reasons the temperature inside the reactor should not exceed 100 °C. In this study the reactor is controlled by two manipulating inputs: filter cake feeding flow rate and cooling water temperature. The speed of the whole process depends on the filter cake feeding flow rate - in case of a large amount filter cake addition a sharp temperature rise follows. The controller must be able to find optimal strategy between the filter cake dosing and the cooling temperature to reach the shortest possible process time. The SOMA optimization algorithm was created in Mathematica, PIDPP in Matlab/Simulink. (2013) Trans Tech Publications, Switzerland. Two different approaches are used to control a semi-batch nonlinear reactor dealing with the significant exothermic reaction. This paper compares evolutionary approach represented by the Self - Organizing Migrating Algorithm (SOMA) with PID pole placement controller (PIDPP). The aim of controlled process is to regenerate the largest amount of chromium filter cake (chromium sludge) in the shortest possible time. For safety reasons the temperature inside the reactor should not exceed 100 °C. In this study the reactor is controlled by two manipulating inputs: filter cake feeding flow rate and cooling water temperature. The speed of the whole process depends on the filter cake feeding flow rate - in case of a large amount filter cake addition a sharp temperature rise follows. The controller must be able to find optimal strategy between the filter cake dosing and the cooling temperature to reach the shortest possible process time. The SOMA optimization algorithm was created in Mathematica, PIDPP in Matlab/Simulink. (2013) Trans Tech Publications, Switzerland.
dcterms:title
Self - Organizing Migrating Algorithm used to control a semi-batch chemical reactor Self - Organizing Migrating Algorithm used to control a semi-batch chemical reactor
skos:prefLabel
Self - Organizing Migrating Algorithm used to control a semi-batch chemical reactor Self - Organizing Migrating Algorithm used to control a semi-batch chemical reactor
skos:notation
RIV/70883521:28140/13:43870929!RIV14-MSM-28140___
n11:predkladatel
n12:orjk%3A28140
n3:aktivita
n4:S
n3:aktivity
S
n3:dodaniDat
n17:2014
n3:domaciTvurceVysledku
n14:9524711 n14:1393960
n3:druhVysledku
n15:D
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n22:predkladatel
n3:idSjednocenehoVysledku
104541
n3:idVysledku
RIV/70883521:28140/13:43870929
n3:jazykVysledku
n13:eng
n3:klicovaSlova
Self - Organizing Migrating Algorithm, temperature control, semi-batch reactor, pole placement
n3:klicoveSlovo
n16:Self n16:pole%20placement n16:temperature%20control n16:semi-batch%20reactor
n3:kontrolniKodProRIV
[5AF8371DCC30]
n3:mistoKonaniAkce
Gwangju
n3:mistoVydani
Bucheon
n3:nazevZdroje
13th International Conference on Control, Automation and Systems
n3:obor
n21:BC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n17:2013
n3:tvurceVysledku
Macků, Lubomír Novosad, David
n3:typAkce
n20:WRD
n3:zahajeniAkce
2013-10-20+02:00
s:issn
2093-7121
s:numberOfPages
4
n5:doi
10.4028/www.scientific.net/AMR.791-793.1333
n8:hasPublisher
ICROS
n18:isbn
978-89-93215-05-2
n10:organizacniJednotka
28140