Fuzzy logic based plantwide control applied to ethanol production from potato starch

Detalhes bibliográficos
Autor(a) principal: Oliveira, Amanda Fonseca
Data de Publicação: 2022
Outros Autores: Santos, Félix Rezende, Fonseca, Rodolpho Rodrigues
Tipo de documento: Artigo
Idioma: eng
Título da fonte: The Journal of Engineering and Exact Sciences
Texto Completo: https://periodicos.ufv.br/jcec/article/view/13650
Resumo: Industrial plants dedicated to ethanol production have a large number of interrelated processes and operations with nonlinear dynamics, requiring a process control design method considering plantwide aspects and nonlinear control techniques application, as fuzzy logic, to overcome disturbance effects on process control performance. In this work, disturbance in an ethanol process plant were investigated in order to propose a fuzzy system to improve the plantwide control and keep process productivity. The fuzzy system was set to adapt the bioreactor temperature setpoint in case of disturbances, avoiding process deregulation. The results indicated that the fuzzy system developed was able to improve plantwide process control performance and also increasing process productivity.
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spelling Fuzzy logic based plantwide control applied to ethanol production from potato starchFuzzy logic based plantwide control applied to ethanol production from potato starchPlantwide controlFuzzy logicEthanol productionPlantwide Control. Fuzzy Logic. Ethanol production.Industrial plants dedicated to ethanol production have a large number of interrelated processes and operations with nonlinear dynamics, requiring a process control design method considering plantwide aspects and nonlinear control techniques application, as fuzzy logic, to overcome disturbance effects on process control performance. In this work, disturbance in an ethanol process plant were investigated in order to propose a fuzzy system to improve the plantwide control and keep process productivity. The fuzzy system was set to adapt the bioreactor temperature setpoint in case of disturbances, avoiding process deregulation. The results indicated that the fuzzy system developed was able to improve plantwide process control performance and also increasing process productivity.Industrial plants dedicated to ethanol production have a large number of interrelated processes and operations with nonlinear dynamics, requiring a process control design method considering plantwide aspects and nonlinear control techniques application, as fuzzy logic, to overcome disturbance effects on process control performance. In this work, disturbance in an ethanol process plant were investigated in order to propose a fuzzy system to improve the plantwide control and keep process productivity. The fuzzy system was set to adapt the bioreactor temperature setpoint in case of disturbances, avoiding process deregulation. The results indicated that the fuzzy system developed was able to improve plantwide process control performance and also increasing process productivity.Universidade Federal de Viçosa - UFV2022-01-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/jcec/article/view/1365010.18540/jcecvl8iss1pp13650-01-16eThe Journal of Engineering and Exact Sciences; Vol. 8 No. 1 (2022); 13650-01-16eThe Journal of Engineering and Exact Sciences; Vol. 8 Núm. 1 (2022); 13650-01-16eThe Journal of Engineering and Exact Sciences; v. 8 n. 1 (2022); 13650-01-16e2527-1075reponame:The Journal of Engineering and Exact Sciencesinstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/jcec/article/view/13650/7134Copyright (c) 2022 The Journal of Engineering and Exact Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessOliveira, Amanda FonsecaSantos, Félix RezendeFonseca, Rodolpho Rodrigues2022-01-30T13:19:07Zoai:ojs.periodicos.ufv.br:article/13650Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/oai2527-10752527-1075opendoar:2022-01-30T13:19:07The Journal of Engineering and Exact Sciences - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Fuzzy logic based plantwide control applied to ethanol production from potato starch
Fuzzy logic based plantwide control applied to ethanol production from potato starch
title Fuzzy logic based plantwide control applied to ethanol production from potato starch
spellingShingle Fuzzy logic based plantwide control applied to ethanol production from potato starch
Oliveira, Amanda Fonseca
Plantwide control
Fuzzy logic
Ethanol production
Plantwide Control. Fuzzy Logic. Ethanol production.
title_short Fuzzy logic based plantwide control applied to ethanol production from potato starch
title_full Fuzzy logic based plantwide control applied to ethanol production from potato starch
title_fullStr Fuzzy logic based plantwide control applied to ethanol production from potato starch
title_full_unstemmed Fuzzy logic based plantwide control applied to ethanol production from potato starch
title_sort Fuzzy logic based plantwide control applied to ethanol production from potato starch
author Oliveira, Amanda Fonseca
author_facet Oliveira, Amanda Fonseca
Santos, Félix Rezende
Fonseca, Rodolpho Rodrigues
author_role author
author2 Santos, Félix Rezende
Fonseca, Rodolpho Rodrigues
author2_role author
author
dc.contributor.author.fl_str_mv Oliveira, Amanda Fonseca
Santos, Félix Rezende
Fonseca, Rodolpho Rodrigues
dc.subject.por.fl_str_mv Plantwide control
Fuzzy logic
Ethanol production
Plantwide Control. Fuzzy Logic. Ethanol production.
topic Plantwide control
Fuzzy logic
Ethanol production
Plantwide Control. Fuzzy Logic. Ethanol production.
description Industrial plants dedicated to ethanol production have a large number of interrelated processes and operations with nonlinear dynamics, requiring a process control design method considering plantwide aspects and nonlinear control techniques application, as fuzzy logic, to overcome disturbance effects on process control performance. In this work, disturbance in an ethanol process plant were investigated in order to propose a fuzzy system to improve the plantwide control and keep process productivity. The fuzzy system was set to adapt the bioreactor temperature setpoint in case of disturbances, avoiding process deregulation. The results indicated that the fuzzy system developed was able to improve plantwide process control performance and also increasing process productivity.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/jcec/article/view/13650
10.18540/jcecvl8iss1pp13650-01-16e
url https://periodicos.ufv.br/jcec/article/view/13650
identifier_str_mv 10.18540/jcecvl8iss1pp13650-01-16e
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufv.br/jcec/article/view/13650/7134
dc.rights.driver.fl_str_mv Copyright (c) 2022 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv The Journal of Engineering and Exact Sciences; Vol. 8 No. 1 (2022); 13650-01-16e
The Journal of Engineering and Exact Sciences; Vol. 8 Núm. 1 (2022); 13650-01-16e
The Journal of Engineering and Exact Sciences; v. 8 n. 1 (2022); 13650-01-16e
2527-1075
reponame:The Journal of Engineering and Exact Sciences
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str The Journal of Engineering and Exact Sciences
collection The Journal of Engineering and Exact Sciences
repository.name.fl_str_mv The Journal of Engineering and Exact Sciences - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv
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