A novel nonlinear model predictive control approach to minimize losses in open-channel irrigation systems

Open-channel irrigation systems (OCIS) are widely recognized as the simplest, most widely adopted, and economically advantageous method of water transportation in agriculture. However, these systems often experience substantial water losses due to seepage and leaks, which are closely correlated with...

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Detalles Bibliográficos
Autores: Conde, Gregory, Ocampo-Martínez, Carlos|||0000-0001-9251-6044, Quijano Silva, Nicanor
Tipo de recurso: artículo
Fecha de publicación:2025
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:2117/442379
Acceso en línea:https://hdl.handle.net/2117/442379
https://dx.doi.org/10.1016/j.isatra.2025.02.003
Access Level:acceso abierto
Palabra clave:Irrigation systems
Water management
Open-channel hydraulics
Nonlinear model predictive control
Efficiency enhancement
Hydraulic modeling
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
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spelling A novel nonlinear model predictive control approach to minimize losses in open-channel irrigation systemsConde, GregoryOcampo-Martínez, Carlos|||0000-0001-9251-6044Quijano Silva, NicanorIrrigation systemsWater managementOpen-channel hydraulicsNonlinear model predictive controlEfficiency enhancementHydraulic modelingÀrees temàtiques de la UPC::Informàtica::Automàtica i controlOpen-channel irrigation systems (OCIS) are widely recognized as the simplest, most widely adopted, and economically advantageous method of water transportation in agriculture. However, these systems often experience substantial water losses due to seepage and leaks, which are closely correlated with the channel levels. The control mechanisms commonly discussed for OCIS primarily emphasize preserving constant channel levels, leading to constant losses. In order to overcome this limitation, the present study offers a paradigm change in control objectives, thereby facilitating the management of channel levels and flow variability. The new objectives seek to address user water demands, mitigate channel water levels, prevent overflow instances, and limit ecological and infrastructural impacts. A request-based operational approach is utilized in implementing a nonlinear model predictive control (NMPC) technique. The NMPC employs a simple modeling framework that can effectively describe the behavior of OCIS in various operational settings. It also integrates a receding-horizon cost function to optimize water allocation and minimize water levels. The provided design of the control strategy includes a set of feasible conditions that ensure the operability and stability of the controlled system. The efficacy of the proposed control technique has been verified by experimentation on a well-established testbed documented in previous academic papers. This validation process has demonstrated a notable 50% decrease in water waste while simultaneously ensuring sufficient water supply to users.Peer Reviewed20252025-01-0120252025-09-25journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/442379https://dx.doi.org/10.1016/j.isatra.2025.02.003reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4423792026-05-27T15:37:01Z
dc.title.none.fl_str_mv A novel nonlinear model predictive control approach to minimize losses in open-channel irrigation systems
title A novel nonlinear model predictive control approach to minimize losses in open-channel irrigation systems
spellingShingle A novel nonlinear model predictive control approach to minimize losses in open-channel irrigation systems
Conde, Gregory
Irrigation systems
Water management
Open-channel hydraulics
Nonlinear model predictive control
Efficiency enhancement
Hydraulic modeling
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
title_short A novel nonlinear model predictive control approach to minimize losses in open-channel irrigation systems
title_full A novel nonlinear model predictive control approach to minimize losses in open-channel irrigation systems
title_fullStr A novel nonlinear model predictive control approach to minimize losses in open-channel irrigation systems
title_full_unstemmed A novel nonlinear model predictive control approach to minimize losses in open-channel irrigation systems
title_sort A novel nonlinear model predictive control approach to minimize losses in open-channel irrigation systems
dc.creator.none.fl_str_mv Conde, Gregory
Ocampo-Martínez, Carlos|||0000-0001-9251-6044
Quijano Silva, Nicanor
author Conde, Gregory
author_facet Conde, Gregory
Ocampo-Martínez, Carlos|||0000-0001-9251-6044
Quijano Silva, Nicanor
author_role author
author2 Ocampo-Martínez, Carlos|||0000-0001-9251-6044
Quijano Silva, Nicanor
author2_role author
author
dc.subject.none.fl_str_mv Irrigation systems
Water management
Open-channel hydraulics
Nonlinear model predictive control
Efficiency enhancement
Hydraulic modeling
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
topic Irrigation systems
Water management
Open-channel hydraulics
Nonlinear model predictive control
Efficiency enhancement
Hydraulic modeling
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
description Open-channel irrigation systems (OCIS) are widely recognized as the simplest, most widely adopted, and economically advantageous method of water transportation in agriculture. However, these systems often experience substantial water losses due to seepage and leaks, which are closely correlated with the channel levels. The control mechanisms commonly discussed for OCIS primarily emphasize preserving constant channel levels, leading to constant losses. In order to overcome this limitation, the present study offers a paradigm change in control objectives, thereby facilitating the management of channel levels and flow variability. The new objectives seek to address user water demands, mitigate channel water levels, prevent overflow instances, and limit ecological and infrastructural impacts. A request-based operational approach is utilized in implementing a nonlinear model predictive control (NMPC) technique. The NMPC employs a simple modeling framework that can effectively describe the behavior of OCIS in various operational settings. It also integrates a receding-horizon cost function to optimize water allocation and minimize water levels. The provided design of the control strategy includes a set of feasible conditions that ensure the operability and stability of the controlled system. The efficacy of the proposed control technique has been verified by experimentation on a well-established testbed documented in previous academic papers. This validation process has demonstrated a notable 50% decrease in water waste while simultaneously ensuring sufficient water supply to users.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-01-01
2025
2025-09-25
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/442379
https://dx.doi.org/10.1016/j.isatra.2025.02.003
url https://hdl.handle.net/2117/442379
https://dx.doi.org/10.1016/j.isatra.2025.02.003
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
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
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
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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