Adaptive and non-adaptive model predictive control of an irrigation channel

Detalhes bibliográficos
Autor(a) principal: Lemos, João Miranda
Data de Publicação: 2010
Outros Autores: Machado, Fernando, Nogueira, Nuno, Rato, Luís, Rijo, Manuel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/2563
Resumo: The performance achieved with both adaptive and non-adaptive Model Predictive Control (MPC) when applied to a pilot irrigation channel is evaluated. Several control structures are considered, corresponding to various degrees of centralization of sensor information, ranging from local upstream control of the di®erent channel pools to multivariable control using only prox- imal pools, and centralized multivariable control relying on a global channel model. In addition to the non-adaptive version, an adaptive MPC algorithm based on redundantly estimated multiple models is considered and tested with and without feedforward of adjacent pool levels, both for upstream and down- stream control. In order to establish a baseline, the results of upstream and local PID controllers are included for comparison. A systematic simulation study of the performances of these controllers, both for disturbance rejection and reference tracking is shown.
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spelling Adaptive and non-adaptive model predictive control of an irrigation channelWaterirrigationcanalchannelAdaptiveControlModelPredictiveThe performance achieved with both adaptive and non-adaptive Model Predictive Control (MPC) when applied to a pilot irrigation channel is evaluated. Several control structures are considered, corresponding to various degrees of centralization of sensor information, ranging from local upstream control of the di®erent channel pools to multivariable control using only prox- imal pools, and centralized multivariable control relying on a global channel model. In addition to the non-adaptive version, an adaptive MPC algorithm based on redundantly estimated multiple models is considered and tested with and without feedforward of adjacent pool levels, both for upstream and down- stream control. In order to establish a baseline, the results of upstream and local PID controllers are included for comparison. A systematic simulation study of the performances of these controllers, both for disturbance rejection and reference tracking is shown.American Institute of Mathematical Sciences2011-02-15T11:40:16Z2011-02-152010-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article715235 bytesapplication/pdfhttp://hdl.handle.net/10174/2563http://hdl.handle.net/10174/2563eng303-3241556-18014Networks and Heterogeneous Media2livrendndndlmr@uevora.ptrijo@uevora.ptNetworks and Heterogeneous Media, Special Issue on Irrigation Channels and Related ProblemsPiccoli, Benedetto493Lemos, João MirandaMachado, FernandoNogueira, NunoRato, LuísRijo, 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:RCAAP2023-08-08T03:46:04ZPortal AgregadorONG
dc.title.none.fl_str_mv Adaptive and non-adaptive model predictive control of an irrigation channel
title Adaptive and non-adaptive model predictive control of an irrigation channel
spellingShingle Adaptive and non-adaptive model predictive control of an irrigation channel
Lemos, João Miranda
Water
irrigation
canal
channel
Adaptive
Control
Model
Predictive
title_short Adaptive and non-adaptive model predictive control of an irrigation channel
title_full Adaptive and non-adaptive model predictive control of an irrigation channel
title_fullStr Adaptive and non-adaptive model predictive control of an irrigation channel
title_full_unstemmed Adaptive and non-adaptive model predictive control of an irrigation channel
title_sort Adaptive and non-adaptive model predictive control of an irrigation channel
author Lemos, João Miranda
author_facet Lemos, João Miranda
Machado, Fernando
Nogueira, Nuno
Rato, Luís
Rijo, Manuel
author_role author
author2 Machado, Fernando
Nogueira, Nuno
Rato, Luís
Rijo, Manuel
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lemos, João Miranda
Machado, Fernando
Nogueira, Nuno
Rato, Luís
Rijo, Manuel
dc.subject.por.fl_str_mv Water
irrigation
canal
channel
Adaptive
Control
Model
Predictive
topic Water
irrigation
canal
channel
Adaptive
Control
Model
Predictive
description The performance achieved with both adaptive and non-adaptive Model Predictive Control (MPC) when applied to a pilot irrigation channel is evaluated. Several control structures are considered, corresponding to various degrees of centralization of sensor information, ranging from local upstream control of the di®erent channel pools to multivariable control using only prox- imal pools, and centralized multivariable control relying on a global channel model. In addition to the non-adaptive version, an adaptive MPC algorithm based on redundantly estimated multiple models is considered and tested with and without feedforward of adjacent pool levels, both for upstream and down- stream control. In order to establish a baseline, the results of upstream and local PID controllers are included for comparison. A systematic simulation study of the performances of these controllers, both for disturbance rejection and reference tracking is shown.
publishDate 2010
dc.date.none.fl_str_mv 2010-06-01T00:00:00Z
2011-02-15T11:40:16Z
2011-02-15
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/10174/2563
http://hdl.handle.net/10174/2563
url http://hdl.handle.net/10174/2563
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 303-324
1556-1801
4
Networks and Heterogeneous Media
2
livre
nd
nd
nd
lmr@uevora.pt
rijo@uevora.pt
Networks and Heterogeneous Media, Special Issue on Irrigation Channels and Related Problems
Piccoli, Benedetto
493
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 715235 bytes
application/pdf
dc.publisher.none.fl_str_mv American Institute of Mathematical Sciences
publisher.none.fl_str_mv American Institute of Mathematical Sciences
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)
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