Adaptive and non-adaptive model predictive control of an irrigation channel
Autor(a) principal: | |
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Data de Publicação: | 2010 |
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/10174/2563 |
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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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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