An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace

En este trabajo se presenta una técnica de control óptima aplicada al control del exceso de aire en el proceso de combustión de un horno reverbero mediante el monitoreo del porcentaje de O2 en la chimenea, el controlador es diseñado basado en un modelo no-lineal estimado con redes neuronales y se em...

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Autores:
Copete-López, Henry
Sánchez-Acevedo, Santiago
Tipo de recurso:
Article of journal
Fecha de publicación:
2009
Institución:
Instituto Tecnológico Metropolitano
Repositorio:
Repositorio ITM
Idioma:
eng
OAI Identifier:
oai:repositorio.itm.edu.co:20.500.12622/841
Acceso en línea:
https://revistas.itm.edu.co/index.php/tecnologicas/article/view/233
http://hdl.handle.net/20.500.12622/841
Palabra clave:
Horno reverbero
combustión
controlador digital
redes neuronales
control óptimo
Reverberatory furnace
combustion
digital control
neural networks
optimal control.
Rights
License
Copyright (c) 2017 Tecno Lógicas
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spelling Copete-López, HenrySánchez-Acevedo, Santiago2019-07-18T14:11:12Z2019-08-16T16:26:21Z2019-07-18T14:11:12Z2019-08-16T16:26:21Z2009-12-20https://revistas.itm.edu.co/index.php/tecnologicas/article/view/23310.22430/22565337.233http://hdl.handle.net/20.500.12622/841En este trabajo se presenta una técnica de control óptima aplicada al control del exceso de aire en el proceso de combustión de un horno reverbero mediante el monitoreo del porcentaje de O2 en la chimenea, el controlador es diseñado basado en un modelo no-lineal estimado con redes neuronales y se emplea para el previo entrenamiento una base de datos conformada por dos conjuntos: uno para entrenamiento y otro para la validación.In this work an optimal control technique is applied to control the excess air in the combustion process of a reverberatory furnace by the monitoring of O2 percentage in the stack, the controller is designed based on a nonlinear model estimated by artificial neural networks and a data base is used for the previous training; the data base has two subsets one for training and other to validate the net.application/pdfengInstituto Tecnológico Metropolitano (ITM)https://revistas.itm.edu.co/index.php/tecnologicas/article/view/233/239TecnoLógicasCopyright (c) 2017 Tecno Lógicashttp://purl.org/coar/access_right/c_abf22256-53370123-7799TecnoLógicas; Num. 23 (2009); 13-29TecnoLógicas; Num. 23 (2009); 13-29Horno reverberocombustióncontrolador digitalredes neuronalescontrol óptimoReverberatory furnacecombustiondigital controlneural networksoptimal control.An Approach to Optimal Control of the Combustion System in a Reverberatory FurnaceAn Approach to Optimal Control of the Combustion System in a Reverberatory Furnaceinfo:eu-repo/semantics/articleArticlesArtículoshttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85PublicationORIGINAL233-Manuscrito-393-1-10-20170214.pdf233-Manuscrito-393-1-10-20170214.pdfapplication/pdf833296https://dspace-itm.metabuscador.org/bitstreams/fd6815a2-aa6c-4318-9fc8-4222ba5290b6/downloadb74ca3df4342b9a03ca877cf0338d8cfMD51trueAnonymousREADTHUMBNAIL233-Manuscrito-393-1-10-20170214.pdf.jpg233-Manuscrito-393-1-10-20170214.pdf.jpgGenerated Thumbnailimage/jpeg4244https://dspace-itm.metabuscador.org/bitstreams/80d27cce-4108-48c9-8ffb-f73d3545932f/downloade780e185f9eff960467b0a13c09045cfMD52falseAnonymousREADTEXT233-Manuscrito-393-1-10-20170214.pdf.txt233-Manuscrito-393-1-10-20170214.pdf.txtExtracted texttext/plain20107https://dspace-itm.metabuscador.org/bitstreams/860051a6-95fa-415e-b616-f93c16dccc0c/download97009ea372287a2e4c056c1ba47253c3MD53falseAnonymousREAD20.500.12622/841oai:dspace-itm.metabuscador.org:20.500.12622/8412025-06-24 09:29:47.405open.accesshttps://dspace-itm.metabuscador.orgRepositorio Instituto Tecnológico Metropolitano de Medellínbdigital@metabiblioteca.com
dc.title.spa.fl_str_mv An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace
dc.title.alternative.none.fl_str_mv An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace
title An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace
spellingShingle An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace
Horno reverbero
combustión
controlador digital
redes neuronales
control óptimo
Reverberatory furnace
combustion
digital control
neural networks
optimal control.
title_short An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace
title_full An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace
title_fullStr An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace
title_full_unstemmed An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace
title_sort An Approach to Optimal Control of the Combustion System in a Reverberatory Furnace
dc.creator.fl_str_mv Copete-López, Henry
Sánchez-Acevedo, Santiago
dc.contributor.author.none.fl_str_mv Copete-López, Henry
Sánchez-Acevedo, Santiago
dc.subject.spa.fl_str_mv Horno reverbero
combustión
controlador digital
redes neuronales
control óptimo
topic Horno reverbero
combustión
controlador digital
redes neuronales
control óptimo
Reverberatory furnace
combustion
digital control
neural networks
optimal control.
dc.subject.keywords.eng.fl_str_mv Reverberatory furnace
combustion
digital control
neural networks
optimal control.
description En este trabajo se presenta una técnica de control óptima aplicada al control del exceso de aire en el proceso de combustión de un horno reverbero mediante el monitoreo del porcentaje de O2 en la chimenea, el controlador es diseñado basado en un modelo no-lineal estimado con redes neuronales y se emplea para el previo entrenamiento una base de datos conformada por dos conjuntos: uno para entrenamiento y otro para la validación.
publishDate 2009
dc.date.issued.none.fl_str_mv 2009-12-20
dc.date.accessioned.none.fl_str_mv 2019-07-18T14:11:12Z
2019-08-16T16:26:21Z
dc.date.available.none.fl_str_mv 2019-07-18T14:11:12Z
2019-08-16T16:26:21Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.eng.fl_str_mv Articles
dc.type.spa.fl_str_mv Artículos
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dc.identifier.none.fl_str_mv https://revistas.itm.edu.co/index.php/tecnologicas/article/view/233
10.22430/22565337.233
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/20.500.12622/841
url https://revistas.itm.edu.co/index.php/tecnologicas/article/view/233
http://hdl.handle.net/20.500.12622/841
identifier_str_mv 10.22430/22565337.233
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.itm.edu.co/index.php/tecnologicas/article/view/233/239
dc.relation.ispartofjournal.none.fl_str_mv TecnoLógicas
dc.rights.spa.fl_str_mv Copyright (c) 2017 Tecno Lógicas
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Copyright (c) 2017 Tecno Lógicas
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Instituto Tecnológico Metropolitano (ITM)
dc.source.none.fl_str_mv 2256-5337
0123-7799
dc.source.eng.fl_str_mv TecnoLógicas; Num. 23 (2009); 13-29
dc.source.spa.fl_str_mv TecnoLógicas; Num. 23 (2009); 13-29
institution Instituto Tecnológico Metropolitano
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