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Self - Organizing Migrating Algorithm used to control a semi-batch chemical reactor

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dc.title Self - Organizing Migrating Algorithm used to control a semi-batch chemical reactor en
dc.contributor.author Novosad, David
dc.contributor.author Macků, Lubomír
dc.relation.ispartof 2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)
dc.identifier.issn 2093-7121 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-89-93215-05-2
dc.date.issued 2013
dc.citation.spage 1266
dc.citation.epage 1269
dc.event.title 13th International Conference on Control, Automation and Systems (ICCAS)
dc.event.location Gwangju
utb.event.state-en South Korea
utb.event.state-cs Jižní Korea
dc.event.sdate 2013-10-20
dc.event.edate 2013-10-23
dc.type conferenceObject
dc.language.iso en
dc.publisher IEEE
dc.identifier.doi 10.1109/ICCAS.2013.6704144
dc.relation.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6704144&tag=1
dc.subject Self - Organizing Migrating Algorithm en
dc.subject temperature control en
dc.subject semi-batch reactor en
dc.subject pole placement en
dc.description.abstract 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 degrees 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. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004157
utb.identifier.obdid 43871261
utb.identifier.scopus 2-s2.0-84893577835
utb.identifier.wok 000347178200260
utb.source d-wok
dc.date.accessioned 2015-02-17T15:13:02Z
dc.date.available 2015-02-17T15:13:02Z
utb.contributor.internalauthor Novosad, David
utb.contributor.internalauthor Macků, Lubomír
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