Advanced control of propylene polimerizations in slurry reactors
Autor(a) principal: | |
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Data de Publicação: | 2000 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Chemical Engineering |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400021 |
Resumo: | The objective of this work is to develop a strategy of nonlinear model predictive control for industrial slurry reactors of propylene polymerizations. The controlled variables are the melt index (polymer quality) and the amount of unreacted monomer (productivity). The model used in the controller presents a linear dynamics and a nonlinear static gain given by a neuronal network MLP (multilayer perceptron). The simulated performance of the controller was evaluated for a typical propylene polymerization process. It is shown that the performance of the proposed control strategy is much better than the one obtained with the use of linear predictive controllers for setpoint tracking control problems. |
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Brazilian Journal of Chemical Engineering |
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|
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Advanced control of propylene polimerizations in slurry reactorsPredictive ControlPolymerization ReactorsNeural NetworksMelt IndexThe objective of this work is to develop a strategy of nonlinear model predictive control for industrial slurry reactors of propylene polymerizations. The controlled variables are the melt index (polymer quality) and the amount of unreacted monomer (productivity). The model used in the controller presents a linear dynamics and a nonlinear static gain given by a neuronal network MLP (multilayer perceptron). The simulated performance of the controller was evaluated for a typical propylene polymerization process. It is shown that the performance of the proposed control strategy is much better than the one obtained with the use of linear predictive controllers for setpoint tracking control problems.Brazilian Society of Chemical Engineering2000-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400021Brazilian Journal of Chemical Engineering v.17 n.4-7 2000reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/S0104-66322000000400021info:eu-repo/semantics/openAccessBolsoni,A.Lima,E.L.Pinto,J.C.eng2001-03-16T00:00:00Zoai:scielo:S0104-66322000000400021Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:2001-03-16T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false |
dc.title.none.fl_str_mv |
Advanced control of propylene polimerizations in slurry reactors |
title |
Advanced control of propylene polimerizations in slurry reactors |
spellingShingle |
Advanced control of propylene polimerizations in slurry reactors Bolsoni,A. Predictive Control Polymerization Reactors Neural Networks Melt Index |
title_short |
Advanced control of propylene polimerizations in slurry reactors |
title_full |
Advanced control of propylene polimerizations in slurry reactors |
title_fullStr |
Advanced control of propylene polimerizations in slurry reactors |
title_full_unstemmed |
Advanced control of propylene polimerizations in slurry reactors |
title_sort |
Advanced control of propylene polimerizations in slurry reactors |
author |
Bolsoni,A. |
author_facet |
Bolsoni,A. Lima,E.L. Pinto,J.C. |
author_role |
author |
author2 |
Lima,E.L. Pinto,J.C. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Bolsoni,A. Lima,E.L. Pinto,J.C. |
dc.subject.por.fl_str_mv |
Predictive Control Polymerization Reactors Neural Networks Melt Index |
topic |
Predictive Control Polymerization Reactors Neural Networks Melt Index |
description |
The objective of this work is to develop a strategy of nonlinear model predictive control for industrial slurry reactors of propylene polymerizations. The controlled variables are the melt index (polymer quality) and the amount of unreacted monomer (productivity). The model used in the controller presents a linear dynamics and a nonlinear static gain given by a neuronal network MLP (multilayer perceptron). The simulated performance of the controller was evaluated for a typical propylene polymerization process. It is shown that the performance of the proposed control strategy is much better than the one obtained with the use of linear predictive controllers for setpoint tracking control problems. |
publishDate |
2000 |
dc.date.none.fl_str_mv |
2000-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400021 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400021 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0104-66322000000400021 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Brazilian Society of Chemical Engineering |
publisher.none.fl_str_mv |
Brazilian Society of Chemical Engineering |
dc.source.none.fl_str_mv |
Brazilian Journal of Chemical Engineering v.17 n.4-7 2000 reponame:Brazilian Journal of Chemical Engineering instname:Associação Brasileira de Engenharia Química (ABEQ) instacron:ABEQ |
instname_str |
Associação Brasileira de Engenharia Química (ABEQ) |
instacron_str |
ABEQ |
institution |
ABEQ |
reponame_str |
Brazilian Journal of Chemical Engineering |
collection |
Brazilian Journal of Chemical Engineering |
repository.name.fl_str_mv |
Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ) |
repository.mail.fl_str_mv |
rgiudici@usp.br||rgiudici@usp.br |
_version_ |
1754213170752258048 |