Model predictive control algorithms and their application to a continuous fermenter
Autor(a) principal: | |
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Data de Publicação: | 1999 |
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=S0104-66321999000200007 |
Resumo: | In many continuous fermentation processes, the control objective is to maximize productivity per unit time. The optimum operational point in the steady state can be obtained by maximizing the productivity rate using feed substrate concentration as the independent variable with the equations of the static model as constraints. In the present study, three model-based control schemes have been developed and implemented for a continuous fermenter. The first method modifies the well-known dynamic matrix control (DMC) algorithm by making it adaptive. The other two use nonlinear model predictive control algorithms (NMPC, nonlinear model predictive control) for calculation of control actions. The NMPC1 algorithm, which uses orthogonal collocation in finite elements, acted similar to NMPC2, which uses equidistant collocation. These algorithms are compared with DMC. The results obtained show the good performance of nonlinear algorithms. |
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Brazilian Journal of Chemical Engineering |
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Model predictive control algorithms and their application to a continuous fermenterPredictive controlDMCADMCcontinuous fermentercontrollersIn many continuous fermentation processes, the control objective is to maximize productivity per unit time. The optimum operational point in the steady state can be obtained by maximizing the productivity rate using feed substrate concentration as the independent variable with the equations of the static model as constraints. In the present study, three model-based control schemes have been developed and implemented for a continuous fermenter. The first method modifies the well-known dynamic matrix control (DMC) algorithm by making it adaptive. The other two use nonlinear model predictive control algorithms (NMPC, nonlinear model predictive control) for calculation of control actions. The NMPC1 algorithm, which uses orthogonal collocation in finite elements, acted similar to NMPC2, which uses equidistant collocation. These algorithms are compared with DMC. The results obtained show the good performance of nonlinear algorithms.Brazilian Society of Chemical Engineering1999-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66321999000200007Brazilian Journal of Chemical Engineering v.16 n.2 1999reponame:Brazilian Journal of Chemical Engineeringinstname:Associação Brasileira de Engenharia Química (ABEQ)instacron:ABEQ10.1590/S0104-66321999000200007info:eu-repo/semantics/openAccessSILVA,R. G.ANASTÁCIO,C. S.KWONG,W. H.eng1999-09-15T00:00:00Zoai:scielo:S0104-66321999000200007Revistahttps://www.scielo.br/j/bjce/https://old.scielo.br/oai/scielo-oai.phprgiudici@usp.br||rgiudici@usp.br1678-43830104-6632opendoar:1999-09-15T00:00Brazilian Journal of Chemical Engineering - Associação Brasileira de Engenharia Química (ABEQ)false |
dc.title.none.fl_str_mv |
Model predictive control algorithms and their application to a continuous fermenter |
title |
Model predictive control algorithms and their application to a continuous fermenter |
spellingShingle |
Model predictive control algorithms and their application to a continuous fermenter SILVA,R. G. Predictive control DMC ADMC continuous fermenter controllers |
title_short |
Model predictive control algorithms and their application to a continuous fermenter |
title_full |
Model predictive control algorithms and their application to a continuous fermenter |
title_fullStr |
Model predictive control algorithms and their application to a continuous fermenter |
title_full_unstemmed |
Model predictive control algorithms and their application to a continuous fermenter |
title_sort |
Model predictive control algorithms and their application to a continuous fermenter |
author |
SILVA,R. G. |
author_facet |
SILVA,R. G. ANASTÁCIO,C. S. KWONG,W. H. |
author_role |
author |
author2 |
ANASTÁCIO,C. S. KWONG,W. H. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
SILVA,R. G. ANASTÁCIO,C. S. KWONG,W. H. |
dc.subject.por.fl_str_mv |
Predictive control DMC ADMC continuous fermenter controllers |
topic |
Predictive control DMC ADMC continuous fermenter controllers |
description |
In many continuous fermentation processes, the control objective is to maximize productivity per unit time. The optimum operational point in the steady state can be obtained by maximizing the productivity rate using feed substrate concentration as the independent variable with the equations of the static model as constraints. In the present study, three model-based control schemes have been developed and implemented for a continuous fermenter. The first method modifies the well-known dynamic matrix control (DMC) algorithm by making it adaptive. The other two use nonlinear model predictive control algorithms (NMPC, nonlinear model predictive control) for calculation of control actions. The NMPC1 algorithm, which uses orthogonal collocation in finite elements, acted similar to NMPC2, which uses equidistant collocation. These algorithms are compared with DMC. The results obtained show the good performance of nonlinear algorithms. |
publishDate |
1999 |
dc.date.none.fl_str_mv |
1999-06-01 |
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=S0104-66321999000200007 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66321999000200007 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0104-66321999000200007 |
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.16 n.2 1999 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_ |
1754213170397839360 |