Digital controller design of an industrial sewing station using evolutionary algorithms
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10198/21166 |
Resumo: | Development of increasingly efficient production methods is a competiveness driving factor for any company. Today, many of these improvements include the integration of technology-based solutions into processes traditionally operated by humans. In this context, the present work aims to report the controller performance of a prototype developed for semi-automatic sewing stations. This project was fostered by “Factory Play”, a Portuguese company that produces inflatable structures, under the technical supervision of the Polytechnic Institute of Bragança. At the present time, the sewing station travel speed is regulated by an embedded PID controller that has been previously tuned using classical methods. However, even if the overall performance is currently acceptable, additional experiments were made regarding the use of evolutionary based algorithms to attain a better dynamic response and flexibility. This article present the results obtained using those methods where it is possible to confirm that the use of evolutionary algorithm will simplify the design process while consistently leading to a suitable solution. |
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Digital controller design of an industrial sewing station using evolutionary algorithmsIndutrial automationEvolutionary algorithmsDevelopment of increasingly efficient production methods is a competiveness driving factor for any company. Today, many of these improvements include the integration of technology-based solutions into processes traditionally operated by humans. In this context, the present work aims to report the controller performance of a prototype developed for semi-automatic sewing stations. This project was fostered by “Factory Play”, a Portuguese company that produces inflatable structures, under the technical supervision of the Polytechnic Institute of Bragança. At the present time, the sewing station travel speed is regulated by an embedded PID controller that has been previously tuned using classical methods. However, even if the overall performance is currently acceptable, additional experiments were made regarding the use of evolutionary based algorithms to attain a better dynamic response and flexibility. This article present the results obtained using those methods where it is possible to confirm that the use of evolutionary algorithm will simplify the design process while consistently leading to a suitable solution.Biblioteca Digital do IPBMoretti, Eric HenriqueCoelho, Gustavo GonçalvesCoelho, João Paulo2020-03-30T08:59:41Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/21166engMoretti, Eric Henrique; Coelho, Gustavo Gonçalves; Coelho, J.P. (2020). Digital controller design of an industrial station using evolutionary algorithms. Carpathian Journal of Electronic and Computer Engineering. ISSN 1844 – 9689 54. 12, p. 2-1210.2478/cjece-2019-0018info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T10:47:56Zoai:bibliotecadigital.ipb.pt:10198/21166Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:12:20.890218Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Digital controller design of an industrial sewing station using evolutionary algorithms |
title |
Digital controller design of an industrial sewing station using evolutionary algorithms |
spellingShingle |
Digital controller design of an industrial sewing station using evolutionary algorithms Moretti, Eric Henrique Indutrial automation Evolutionary algorithms |
title_short |
Digital controller design of an industrial sewing station using evolutionary algorithms |
title_full |
Digital controller design of an industrial sewing station using evolutionary algorithms |
title_fullStr |
Digital controller design of an industrial sewing station using evolutionary algorithms |
title_full_unstemmed |
Digital controller design of an industrial sewing station using evolutionary algorithms |
title_sort |
Digital controller design of an industrial sewing station using evolutionary algorithms |
author |
Moretti, Eric Henrique |
author_facet |
Moretti, Eric Henrique Coelho, Gustavo Gonçalves Coelho, João Paulo |
author_role |
author |
author2 |
Coelho, Gustavo Gonçalves Coelho, João Paulo |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
dc.contributor.author.fl_str_mv |
Moretti, Eric Henrique Coelho, Gustavo Gonçalves Coelho, João Paulo |
dc.subject.por.fl_str_mv |
Indutrial automation Evolutionary algorithms |
topic |
Indutrial automation Evolutionary algorithms |
description |
Development of increasingly efficient production methods is a competiveness driving factor for any company. Today, many of these improvements include the integration of technology-based solutions into processes traditionally operated by humans. In this context, the present work aims to report the controller performance of a prototype developed for semi-automatic sewing stations. This project was fostered by “Factory Play”, a Portuguese company that produces inflatable structures, under the technical supervision of the Polytechnic Institute of Bragança. At the present time, the sewing station travel speed is regulated by an embedded PID controller that has been previously tuned using classical methods. However, even if the overall performance is currently acceptable, additional experiments were made regarding the use of evolutionary based algorithms to attain a better dynamic response and flexibility. This article present the results obtained using those methods where it is possible to confirm that the use of evolutionary algorithm will simplify the design process while consistently leading to a suitable solution. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-03-30T08:59:41Z 2020 2020-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10198/21166 |
url |
http://hdl.handle.net/10198/21166 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Moretti, Eric Henrique; Coelho, Gustavo Gonçalves; Coelho, J.P. (2020). Digital controller design of an industrial station using evolutionary algorithms. Carpathian Journal of Electronic and Computer Engineering. ISSN 1844 – 9689 54. 12, p. 2-12 10.2478/cjece-2019-0018 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799135395000090624 |