SCADA system with predictive controller applied to irrigation canals
Autor(a) principal: | |
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Data de Publicação: | 2013 |
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/10174/9071 |
Resumo: | This paper applies a model predictive controller (MPC) to an automatic water canal with sensors and actuators controlled by a network (programmable logic controller), and supervised by a SCADA system (supervisory control and a data acquisition). This canal is composed by a set of distributed sub-systems that control the water level in each canal pool, constrained by discharge gates (control variables) and water off-takes (disturbances). All local controllers are available through an industrial network managed by the SCADA system, where the centralized predictive controller runs. In the paper, a complete new platform connecting the SCADA supervisory system and the MATLAB software (named SCADA-MATLAB platform) is built, in order to provide the usual SCADA systems with the ability to handle complex control algorithms. The developed MPC-model presents a novelty in the control of irrigation canals as it allows the use of industrial PLCs to implement high complex controllers, through the new developed SCADA-MATLAB platform. Experimental results demonstrate the reliability and effectiveness of the propped strategy in real-life situations, including gate malfunctioning and extreme water off-take conditions. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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SCADA system with predictive controller applied to irrigation canalsPredictive controlAutomationSupervisory controlMultivariable controlThis paper applies a model predictive controller (MPC) to an automatic water canal with sensors and actuators controlled by a network (programmable logic controller), and supervised by a SCADA system (supervisory control and a data acquisition). This canal is composed by a set of distributed sub-systems that control the water level in each canal pool, constrained by discharge gates (control variables) and water off-takes (disturbances). All local controllers are available through an industrial network managed by the SCADA system, where the centralized predictive controller runs. In the paper, a complete new platform connecting the SCADA supervisory system and the MATLAB software (named SCADA-MATLAB platform) is built, in order to provide the usual SCADA systems with the ability to handle complex control algorithms. The developed MPC-model presents a novelty in the control of irrigation canals as it allows the use of industrial PLCs to implement high complex controllers, through the new developed SCADA-MATLAB platform. Experimental results demonstrate the reliability and effectiveness of the propped strategy in real-life situations, including gate malfunctioning and extreme water off-take conditions.Elsevier Lda2013-12-16T12:02:40Z2013-12-162013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/9071http://hdl.handle.net/10174/9071eng870-8860967-066121Control Engineering Practicejfig@uevora.ptndrijo@uevora.pt493Figueiredo, JoãoBotto, MiguelRijo, Manuelinfo: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:RCAAP2024-01-03T18:50:44Zoai:dspace.uevora.pt:10174/9071Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:03:14.115745Repositório 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 |
SCADA system with predictive controller applied to irrigation canals |
title |
SCADA system with predictive controller applied to irrigation canals |
spellingShingle |
SCADA system with predictive controller applied to irrigation canals Figueiredo, João Predictive control Automation Supervisory control Multivariable control |
title_short |
SCADA system with predictive controller applied to irrigation canals |
title_full |
SCADA system with predictive controller applied to irrigation canals |
title_fullStr |
SCADA system with predictive controller applied to irrigation canals |
title_full_unstemmed |
SCADA system with predictive controller applied to irrigation canals |
title_sort |
SCADA system with predictive controller applied to irrigation canals |
author |
Figueiredo, João |
author_facet |
Figueiredo, João Botto, Miguel Rijo, Manuel |
author_role |
author |
author2 |
Botto, Miguel Rijo, Manuel |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Figueiredo, João Botto, Miguel Rijo, Manuel |
dc.subject.por.fl_str_mv |
Predictive control Automation Supervisory control Multivariable control |
topic |
Predictive control Automation Supervisory control Multivariable control |
description |
This paper applies a model predictive controller (MPC) to an automatic water canal with sensors and actuators controlled by a network (programmable logic controller), and supervised by a SCADA system (supervisory control and a data acquisition). This canal is composed by a set of distributed sub-systems that control the water level in each canal pool, constrained by discharge gates (control variables) and water off-takes (disturbances). All local controllers are available through an industrial network managed by the SCADA system, where the centralized predictive controller runs. In the paper, a complete new platform connecting the SCADA supervisory system and the MATLAB software (named SCADA-MATLAB platform) is built, in order to provide the usual SCADA systems with the ability to handle complex control algorithms. The developed MPC-model presents a novelty in the control of irrigation canals as it allows the use of industrial PLCs to implement high complex controllers, through the new developed SCADA-MATLAB platform. Experimental results demonstrate the reliability and effectiveness of the propped strategy in real-life situations, including gate malfunctioning and extreme water off-take conditions. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12-16T12:02:40Z 2013-12-16 2013-01-01T00:00:00Z |
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/10174/9071 http://hdl.handle.net/10174/9071 |
url |
http://hdl.handle.net/10174/9071 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
870-886 0967-0661 21 Control Engineering Practice jfig@uevora.pt nd rijo@uevora.pt 493 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier Lda |
publisher.none.fl_str_mv |
Elsevier Lda |
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 |
repository.mail.fl_str_mv |
|
_version_ |
1799136515815636992 |