IDENTIFICATION OF LINEAR MODELS ARX AND ARMAX IN REFRIGERATION PROCESS

Detalhes bibliográficos
Autor(a) principal: Dantas, Tarcísio Soares Siqueira
Data de Publicação: 2016
Outros Autores: Franco, Ivan Carlos, Fileti, Ana Maria Frattini, Silva, Flávio Vascocelos da
Tipo de documento: Artigo
Idioma: por
Título da fonte: The Journal of Engineering and Exact Sciences
Texto Completo: https://periodicos.ufv.br/jcec/article/view/2446941602023016081
Resumo: Refrigeration processes are present in many areas of everyday life, from air conditioning and residential refrigerators to applications involving the preservation of products with high added value. The need to develop other control strategies may arise and having a model representing the dynamics characteristics of the system can facilitate this task by reducing costs and time of simulation. In this work is sparse models ARX and ARMAX for prediction evaporating temperature of a refrigeration system using the FROLS algorithm for determining the ERR and AOE performance criteria. The developed models have good performance with AOE 0.0419 °C for model ARX model and 0.0250 °C for the model ARMAX.
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network_name_str The Journal of Engineering and Exact Sciences
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spelling IDENTIFICATION OF LINEAR MODELS ARX AND ARMAX IN REFRIGERATION PROCESSIDENTIFICAÇÃO DE MODELOS LINEARES ARX E ARMAX EM PROCESSO DE REFRIGERAÇÃOIdentification SystemARXARMAXRefrigeration ProcessIdentificação de SistemasARXARMAXSistemas de RefrigeraçãoRefrigeration processes are present in many areas of everyday life, from air conditioning and residential refrigerators to applications involving the preservation of products with high added value. The need to develop other control strategies may arise and having a model representing the dynamics characteristics of the system can facilitate this task by reducing costs and time of simulation. In this work is sparse models ARX and ARMAX for prediction evaporating temperature of a refrigeration system using the FROLS algorithm for determining the ERR and AOE performance criteria. The developed models have good performance with AOE 0.0419 °C for model ARX model and 0.0250 °C for the model ARMAX.Processos de refrigeração estão presentes em diversas áreas da vida cotidiana, desde ar-condicionado e geladeiras residenciais até aplicações que envolvem a preservação de produtos com alto valor agregado. A necessidade de desenvolver outras estratégias de controle pode surgir e tendo-se um modelo que represente as características dinâmicas do sistema pode-se facilitar esta tarefa reduzindo custos e tempo através da simulação. Neste trabalho desenvolveu-se modelos esparsos ARX e ARMAX para a predição da temperatura de evaporação de um sistema de refrigeração utilizando-se o algoritmo FROLS para a determinação dos critérios de desempenho ERR e AOE. Os modelos desenvolvidos apresentaram boa performance tendo AOE de 0,0419 °C para o modelo ARX e 0,0250 °C para o modelo ARMAXUniversidade Federal de Viçosa - UFV2016-08-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTipoTipoapplication/kswpshttps://periodicos.ufv.br/jcec/article/view/244694160202301608110.18540/jcecvl2iss3pp081-091The Journal of Engineering and Exact Sciences; Vol. 2 No. 3 (2016); 081-091The Journal of Engineering and Exact Sciences; Vol. 2 Núm. 3 (2016); 081-091The Journal of Engineering and Exact Sciences; v. 2 n. 3 (2016); 081-0912527-1075reponame:The Journal of Engineering and Exact Sciencesinstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/jcec/article/view/2446941602023016081/pdfDantas, Tarcísio Soares SiqueiraFranco, Ivan CarlosFileti, Ana Maria FrattiniSilva, Flávio Vascocelos dainfo:eu-repo/semantics/openAccess2020-07-14T22:45:11Zoai:ojs.periodicos.ufv.br:article/2197Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/oai2527-10752527-1075opendoar:2020-07-14T22:45:11The Journal of Engineering and Exact Sciences - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv IDENTIFICATION OF LINEAR MODELS ARX AND ARMAX IN REFRIGERATION PROCESS
IDENTIFICAÇÃO DE MODELOS LINEARES ARX E ARMAX EM PROCESSO DE REFRIGERAÇÃO
title IDENTIFICATION OF LINEAR MODELS ARX AND ARMAX IN REFRIGERATION PROCESS
spellingShingle IDENTIFICATION OF LINEAR MODELS ARX AND ARMAX IN REFRIGERATION PROCESS
Dantas, Tarcísio Soares Siqueira
Identification System
ARX
ARMAX
Refrigeration Process
Identificação de Sistemas
ARX
ARMAX
Sistemas de Refrigeração
title_short IDENTIFICATION OF LINEAR MODELS ARX AND ARMAX IN REFRIGERATION PROCESS
title_full IDENTIFICATION OF LINEAR MODELS ARX AND ARMAX IN REFRIGERATION PROCESS
title_fullStr IDENTIFICATION OF LINEAR MODELS ARX AND ARMAX IN REFRIGERATION PROCESS
title_full_unstemmed IDENTIFICATION OF LINEAR MODELS ARX AND ARMAX IN REFRIGERATION PROCESS
title_sort IDENTIFICATION OF LINEAR MODELS ARX AND ARMAX IN REFRIGERATION PROCESS
author Dantas, Tarcísio Soares Siqueira
author_facet Dantas, Tarcísio Soares Siqueira
Franco, Ivan Carlos
Fileti, Ana Maria Frattini
Silva, Flávio Vascocelos da
author_role author
author2 Franco, Ivan Carlos
Fileti, Ana Maria Frattini
Silva, Flávio Vascocelos da
author2_role author
author
author
dc.contributor.author.fl_str_mv Dantas, Tarcísio Soares Siqueira
Franco, Ivan Carlos
Fileti, Ana Maria Frattini
Silva, Flávio Vascocelos da
dc.subject.por.fl_str_mv Identification System
ARX
ARMAX
Refrigeration Process
Identificação de Sistemas
ARX
ARMAX
Sistemas de Refrigeração
topic Identification System
ARX
ARMAX
Refrigeration Process
Identificação de Sistemas
ARX
ARMAX
Sistemas de Refrigeração
description Refrigeration processes are present in many areas of everyday life, from air conditioning and residential refrigerators to applications involving the preservation of products with high added value. The need to develop other control strategies may arise and having a model representing the dynamics characteristics of the system can facilitate this task by reducing costs and time of simulation. In this work is sparse models ARX and ARMAX for prediction evaporating temperature of a refrigeration system using the FROLS algorithm for determining the ERR and AOE performance criteria. The developed models have good performance with AOE 0.0419 °C for model ARX model and 0.0250 °C for the model ARMAX.
publishDate 2016
dc.date.none.fl_str_mv 2016-08-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Tipo
Tipo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/jcec/article/view/2446941602023016081
10.18540/jcecvl2iss3pp081-091
url https://periodicos.ufv.br/jcec/article/view/2446941602023016081
identifier_str_mv 10.18540/jcecvl2iss3pp081-091
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufv.br/jcec/article/view/2446941602023016081/pdf
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/kswps
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. 2 No. 3 (2016); 081-091
The Journal of Engineering and Exact Sciences; Vol. 2 Núm. 3 (2016); 081-091
The Journal of Engineering and Exact Sciences; v. 2 n. 3 (2016); 081-091
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
_version_ 1808845242451886080

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