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Greenhouse air temperature control using the particle swarm optimisation algorithm

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Resumo:The particle swarm optimisation algorithm is proposed as a new method to design a model based predictive controller subject to restrictions. Its performance is compared with the one obtained by using a genetic algorithm for the environmental temperature control of a greenhouse. Controller outputs are computed in order to optimise future behaviour of the greenhouse environment, regarding set-point tracking and minimisation of the control effort over a prediction horizon of one hour with a one-minute sampling period.
Autores principais:Coelho, João Paulo
Outros Autores:Cunha, José Boaventura; Oliveira, Paulo de Moura
Assunto:Model predictive control Agriculture Particle swarm optimisation algorithms
Ano:2002
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Coelho, João Paulo
author2 Cunha, José Boaventura
Oliveira, Paulo de Moura
author2_role author
author
author_facet Coelho, João Paulo
Cunha, José Boaventura
Oliveira, Paulo de Moura
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Coelho, João Paulo\",\"Person.identifier.orcid\":\"0000-0002-7616-1383\"},{\"Person.name\":\"Cunha, José Boaventura\"},{\"Person.name\":\"Oliveira, Paulo de Moura\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Coelho, João Paulo
Cunha, José Boaventura
Oliveira, Paulo de Moura
datacite.date.Accepted.fl_str_mv 2002-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2010-11-09T16:11:58Z
datacite.date.embargoed.fl_str_mv 2010-11-09T16:11:58Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Model predictive control
Agriculture
Particle swarm optimisation algorithms
datacite.titles.title.fl_str_mv Greenhouse air temperature control using the particle swarm optimisation algorithm
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Coelho, João Paulo
Cunha, José Boaventura
Oliveira, Paulo de Moura
dc.date.Accepted.fl_str_mv 2002-01-01T00:00:00Z
dc.date.available.fl_str_mv 2010-11-09T16:11:58Z
dc.date.embargoed.fl_str_mv 2010-11-09T16:11:58Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/2763
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Model predictive control
Agriculture
Particle swarm optimisation algorithms
dc.title.fl_str_mv Greenhouse air temperature control using the particle swarm optimisation algorithm
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_5794
description The particle swarm optimisation algorithm is proposed as a new method to design a model based predictive controller subject to restrictions. Its performance is compared with the one obtained by using a genetic algorithm for the environmental temperature control of a greenhouse. Controller outputs are computed in order to optimise future behaviour of the greenhouse environment, regarding set-point tracking and minimisation of the control effort over a prediction horizon of one hour with a one-minute sampling period.
dirty 0
eu_rights_str_mv openAccess
format conferencePaper
fulltext.url.fl_str_mv https://bibliotecadigital.ipb.pt/bitstreams/4c48e285-8650-4fb3-84af-174174746a09/download
id ipb_1cfbefeffcead585e8fd2fc57e79fb2c
identifier.url.fl_str_mv http://hdl.handle.net/10198/2763
instacron_str ipb
institution Instituto Politécnico de Bragança
instname_str Instituto Politécnico de Bragança
language eng
network_acronym_str ipb
network_name_str Biblioteca Digital do IPB
oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/2763
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Coelho, João Paulo
Coelho, João Paulo
https://www.ciencia-id.pt/D61E-A586-7D4A
D61E-A586-7D4A
http://orcid.org/0000-0002-7616-1383
0000-0002-7616-1383
Cunha, José Boaventura
Oliveira, Paulo de Moura
publishDate 2002
reponame_str Biblioteca Digital do IPB
repository_id_str urn:repositoryAcronym:ipb
service_str_mv urn:repositoryAcronym:ipb
spelling engThe particle swarm optimisation algorithm is proposed as a new method to design a model based predictive controller subject to restrictions. Its performance is compared with the one obtained by using a genetic algorithm for the environmental temperature control of a greenhouse. Controller outputs are computed in order to optimise future behaviour of the greenhouse environment, regarding set-point tracking and minimisation of the control effort over a prediction horizon of one hour with a one-minute sampling period.application/pdfporGreenhouse air temperature control using the particle swarm optimisation algorithmPersonalCoelho, João PauloDSpacehttp://dspace.org/items/2861f33b-b49a-421d-9bfa-92b4304d2668DSpacehttp://dspace.org/items/2861f33b-b49a-421d-9bfa-92b4304d2668CoelhoJoão PauloCiência IDhttps://www.ciencia-id.ptD61E-A586-7D4AORCIDhttp://orcid.org0000-0002-7616-1383Researcher IDhttps://www.researcherid.comJ-6887-2013Scopus Author IDhttps://www.scopus.com55137039300Cunha, José BoaventuraOliveira, Paulo de MouraHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.pt2010-11-09T16:11:58Z20022002-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/2763http://purl.org/coar/access_right/c_abf2open accessModel predictive controlAgricultureParticle swarm optimisation algorithms174905 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/4c48e285-8650-4fb3-84af-174174746a09/download15th IFAC World Congress on Automatic ControlBarcelona – Espanha
spellingShingle Greenhouse air temperature control using the particle swarm optimisation algorithm
Coelho, João Paulo
Model predictive control
Agriculture
Particle swarm optimisation algorithms
status SINGLETON
subject.fl_str_mv Model predictive control
Agriculture
Particle swarm optimisation algorithms
title Greenhouse air temperature control using the particle swarm optimisation algorithm
title_full Greenhouse air temperature control using the particle swarm optimisation algorithm
title_fullStr Greenhouse air temperature control using the particle swarm optimisation algorithm
title_full_unstemmed Greenhouse air temperature control using the particle swarm optimisation algorithm
title_short Greenhouse air temperature control using the particle swarm optimisation algorithm
title_sort Greenhouse air temperature control using the particle swarm optimisation algorithm
topic Model predictive control
Agriculture
Particle swarm optimisation algorithms
topic_facet Model predictive control
Agriculture
Particle swarm optimisation algorithms
url http://hdl.handle.net/10198/2763
visible 1