Learning-based tuning of supervisory model predictive control for drinking water networks

This paper presents a constrained Model Predictive Control (MPC) strategy enriched with soft-control techniques as neural networks and fuzzy logic, to incorporate self-tuning capabilities and reliability aspects for the management of drinking water networks (DWNs). The control system architecture co...

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Detalles Bibliográficos
Autores: Grosso Pérez, Juan Manuel|||0000-0002-4300-1500, Ocampo-Martínez, Carlos|||0000-0001-9251-6044, Puig Cayuela, Vicenç|||0000-0002-6364-6429
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/20298
Acceso en línea:https://hdl.handle.net/2117/20298
https://dx.doi.org/10.1016/j.engappai.2013.03.003
Access Level:acceso abierto
Palabra clave:Drinking water networks
Drinking water -- Spain -- Barcelona
Fuzzy-logic
Model predictive control
Multilayer controller
Neural networks
Self-tuning
Aigua potable -- Abastament -- Control automàtic
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària
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oai_identifier_str oai:upcommons.upc.edu:2117/20298
network_acronym_str ES
network_name_str España
repository_id_str
spelling Learning-based tuning of supervisory model predictive control for drinking water networksGrosso Pérez, Juan Manuel|||0000-0002-4300-1500Ocampo-Martínez, Carlos|||0000-0001-9251-6044Puig Cayuela, Vicenç|||0000-0002-6364-6429Drinking water networksDrinking water -- Spain -- BarcelonaDrinking water networksFuzzy-logicModel predictive controlMultilayer controllerNeural networksSelf-tuningAigua potable -- Abastament -- Control automàticÀrees temàtiques de la UPC::Informàtica::Automàtica i controlÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitàriaThis paper presents a constrained Model Predictive Control (MPC) strategy enriched with soft-control techniques as neural networks and fuzzy logic, to incorporate self-tuning capabilities and reliability aspects for the management of drinking water networks (DWNs). The control system architecture consists in a multilayer controller with three hierarchical layers: learning and planning layer, supervision and adaptation layer, and feedback control layer. Results of applying the proposed approach to the Barcelona DWN show that the quasi-explicit nature of the proposed adaptive predictive controller leads to improve the computational time, especially when the complexity of the problem structure can vary while tuning the receding horizons.Peer Reviewed20132013-01-0120132013-10-04journal articlehttp://purl.org/coar/resource_type/c_6501AOhttp://purl.org/coar/version/c_b1a7d7d4d402bcceinfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/20298https://dx.doi.org/10.1016/j.engappai.2013.03.003reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengEuropean Commission http://dx.doi.org/10.13039/100011102 Seventh Framework Programme 318556 Efficient Integrated Real-time Monitoring and Control of Drinking Water NetworksMinisterio de Ciencia e Innovación http://doi.org/10.13039/501100004837 DPI2009-13744 Analisis Y Diseño De Estrategidas De Control Optimo Distribuido Aplicadas A La Gestion De Sistemas De Agua De Gran Escalaopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/202982026-05-27T15:37:01Z
dc.title.none.fl_str_mv Learning-based tuning of supervisory model predictive control for drinking water networks
title Learning-based tuning of supervisory model predictive control for drinking water networks
spellingShingle Learning-based tuning of supervisory model predictive control for drinking water networks
Grosso Pérez, Juan Manuel|||0000-0002-4300-1500
Drinking water networks
Drinking water -- Spain -- Barcelona
Drinking water networks
Fuzzy-logic
Model predictive control
Multilayer controller
Neural networks
Self-tuning
Aigua potable -- Abastament -- Control automàtic
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària
title_short Learning-based tuning of supervisory model predictive control for drinking water networks
title_full Learning-based tuning of supervisory model predictive control for drinking water networks
title_fullStr Learning-based tuning of supervisory model predictive control for drinking water networks
title_full_unstemmed Learning-based tuning of supervisory model predictive control for drinking water networks
title_sort Learning-based tuning of supervisory model predictive control for drinking water networks
dc.creator.none.fl_str_mv Grosso Pérez, Juan Manuel|||0000-0002-4300-1500
Ocampo-Martínez, Carlos|||0000-0001-9251-6044
Puig Cayuela, Vicenç|||0000-0002-6364-6429
author Grosso Pérez, Juan Manuel|||0000-0002-4300-1500
author_facet Grosso Pérez, Juan Manuel|||0000-0002-4300-1500
Ocampo-Martínez, Carlos|||0000-0001-9251-6044
Puig Cayuela, Vicenç|||0000-0002-6364-6429
author_role author
author2 Ocampo-Martínez, Carlos|||0000-0001-9251-6044
Puig Cayuela, Vicenç|||0000-0002-6364-6429
author2_role author
author
dc.subject.none.fl_str_mv Drinking water networks
Drinking water -- Spain -- Barcelona
Drinking water networks
Fuzzy-logic
Model predictive control
Multilayer controller
Neural networks
Self-tuning
Aigua potable -- Abastament -- Control automàtic
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària
topic Drinking water networks
Drinking water -- Spain -- Barcelona
Drinking water networks
Fuzzy-logic
Model predictive control
Multilayer controller
Neural networks
Self-tuning
Aigua potable -- Abastament -- Control automàtic
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària
description This paper presents a constrained Model Predictive Control (MPC) strategy enriched with soft-control techniques as neural networks and fuzzy logic, to incorporate self-tuning capabilities and reliability aspects for the management of drinking water networks (DWNs). The control system architecture consists in a multilayer controller with three hierarchical layers: learning and planning layer, supervision and adaptation layer, and feedback control layer. Results of applying the proposed approach to the Barcelona DWN show that the quasi-explicit nature of the proposed adaptive predictive controller leads to improve the computational time, especially when the complexity of the problem structure can vary while tuning the receding horizons.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01
2013
2013-10-04
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AO
http://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/20298
https://dx.doi.org/10.1016/j.engappai.2013.03.003
url https://hdl.handle.net/2117/20298
https://dx.doi.org/10.1016/j.engappai.2013.03.003
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://dx.doi.org/10.13039/100011102 Seventh Framework Programme 318556 Efficient Integrated Real-time Monitoring and Control of Drinking Water Networks
Ministerio de Ciencia e Innovación http://doi.org/10.13039/501100004837 DPI2009-13744 Analisis Y Diseño De Estrategidas De Control Optimo Distribuido Aplicadas A La Gestion De Sistemas De Agua De Gran Escala
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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