Modeling, simulation and identification for control of tandem cold metal rolling
Autor(a) principal: | |
---|---|
Data de Publicação: | 2012 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Materials research (São Carlos. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392012000600015 |
Resumo: | This paper describes a modeling procedure for tandem cold metal rolling, including the linearization step and system identification for control. The tandem cold rolling process is described by a mathematical model based on algebraic equations developed for control purposes and empirical relations. A state-space model is derived and detailed analyses in open loop are presented, concerning the sensitivity with regard to the variations in process parameters and results for the application of a new subspace identification method are compared with classical methodologies. Therefore, this work intents to be a contribution for developments in new control strategies for tandem cold rolling process that offer the potential to reduce the design efforts, the commissioning time and maintenance in rolling mills. The preliminary results obtained with this model have shown reasonable agreement with operational data presented at literature for industrial cold rolling process. |
id |
ABMABCABPOL-1_576d18512b4cca37fd65e173eec4e6c3 |
---|---|
oai_identifier_str |
oai:scielo:S1516-14392012000600015 |
network_acronym_str |
ABMABCABPOL-1 |
network_name_str |
Materials research (São Carlos. Online) |
repository_id_str |
|
spelling |
Modeling, simulation and identification for control of tandem cold metal rollingrolling mill controltandem cold rollingprocess simulationmathematical modelsystem identificationThis paper describes a modeling procedure for tandem cold metal rolling, including the linearization step and system identification for control. The tandem cold rolling process is described by a mathematical model based on algebraic equations developed for control purposes and empirical relations. A state-space model is derived and detailed analyses in open loop are presented, concerning the sensitivity with regard to the variations in process parameters and results for the application of a new subspace identification method are compared with classical methodologies. Therefore, this work intents to be a contribution for developments in new control strategies for tandem cold rolling process that offer the potential to reduce the design efforts, the commissioning time and maintenance in rolling mills. The preliminary results obtained with this model have shown reasonable agreement with operational data presented at literature for industrial cold rolling process.ABM, ABC, ABPol2012-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392012000600015Materials Research v.15 n.6 2012reponame:Materials research (São Carlos. Online)instname:Universidade Federal de São Carlos (UFSCAR)instacron:ABM ABC ABPOL10.1590/S1516-14392012005000137info:eu-repo/semantics/openAccessAlves,Péricles GuedesCastro,José Adilson deMoreira,Luciano PessanhaHemerly,Elder Moreiraeng2012-11-20T00:00:00Zoai:scielo:S1516-14392012000600015Revistahttp://www.scielo.br/mrPUBhttps://old.scielo.br/oai/scielo-oai.phpdedz@power.ufscar.br1980-53731516-1439opendoar:2012-11-20T00:00Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR)false |
dc.title.none.fl_str_mv |
Modeling, simulation and identification for control of tandem cold metal rolling |
title |
Modeling, simulation and identification for control of tandem cold metal rolling |
spellingShingle |
Modeling, simulation and identification for control of tandem cold metal rolling Alves,Péricles Guedes rolling mill control tandem cold rolling process simulation mathematical model system identification |
title_short |
Modeling, simulation and identification for control of tandem cold metal rolling |
title_full |
Modeling, simulation and identification for control of tandem cold metal rolling |
title_fullStr |
Modeling, simulation and identification for control of tandem cold metal rolling |
title_full_unstemmed |
Modeling, simulation and identification for control of tandem cold metal rolling |
title_sort |
Modeling, simulation and identification for control of tandem cold metal rolling |
author |
Alves,Péricles Guedes |
author_facet |
Alves,Péricles Guedes Castro,José Adilson de Moreira,Luciano Pessanha Hemerly,Elder Moreira |
author_role |
author |
author2 |
Castro,José Adilson de Moreira,Luciano Pessanha Hemerly,Elder Moreira |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Alves,Péricles Guedes Castro,José Adilson de Moreira,Luciano Pessanha Hemerly,Elder Moreira |
dc.subject.por.fl_str_mv |
rolling mill control tandem cold rolling process simulation mathematical model system identification |
topic |
rolling mill control tandem cold rolling process simulation mathematical model system identification |
description |
This paper describes a modeling procedure for tandem cold metal rolling, including the linearization step and system identification for control. The tandem cold rolling process is described by a mathematical model based on algebraic equations developed for control purposes and empirical relations. A state-space model is derived and detailed analyses in open loop are presented, concerning the sensitivity with regard to the variations in process parameters and results for the application of a new subspace identification method are compared with classical methodologies. Therefore, this work intents to be a contribution for developments in new control strategies for tandem cold rolling process that offer the potential to reduce the design efforts, the commissioning time and maintenance in rolling mills. The preliminary results obtained with this model have shown reasonable agreement with operational data presented at literature for industrial cold rolling process. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-12-01 |
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=S1516-14392012000600015 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392012000600015 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1516-14392012005000137 |
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 |
ABM, ABC, ABPol |
publisher.none.fl_str_mv |
ABM, ABC, ABPol |
dc.source.none.fl_str_mv |
Materials Research v.15 n.6 2012 reponame:Materials research (São Carlos. Online) instname:Universidade Federal de São Carlos (UFSCAR) instacron:ABM ABC ABPOL |
instname_str |
Universidade Federal de São Carlos (UFSCAR) |
instacron_str |
ABM ABC ABPOL |
institution |
ABM ABC ABPOL |
reponame_str |
Materials research (São Carlos. Online) |
collection |
Materials research (São Carlos. Online) |
repository.name.fl_str_mv |
Materials research (São Carlos. Online) - Universidade Federal de São Carlos (UFSCAR) |
repository.mail.fl_str_mv |
dedz@power.ufscar.br |
_version_ |
1754212661686435840 |