Discussion on Muskingum versus Integrator-Delay Models for Control Objectives

A comparative study about two models, Muskingum and integrator-delay (ID) models, for canal control is presented. The former is a simplified hydrological model which is very simple and extensively used in hydraulic engineering for simulation and prediction. The latter is also a model with physical m...

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Main Authors: Yolanda Bolea, Vicenç Puig, Antoni Grau
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/197907
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author Yolanda Bolea
Vicenç Puig
Antoni Grau
author_facet Yolanda Bolea
Vicenç Puig
Antoni Grau
author_sort Yolanda Bolea
collection DOAJ
description A comparative study about two models, Muskingum and integrator-delay (ID) models, for canal control is presented. The former is a simplified hydrological model which is very simple and extensively used in hydraulic engineering for simulation and prediction. The latter is also a model with physical meaning and is widely used for irrigation canals control. Due to a lack of general awareness of Muskingum prediction model in regulation from the control community, authors present this comparative study with the ID control model. Both models have been studied and analyzed for control purposes. This study has been carried out and validated in a real irrigation canal, at Aghili irrigation district in Iran, using two traditional control approaches, PID with feedback and predictive control. The results demonstrate the advantages and drawbacks of both models, showing the benefits and limitations of using the widespread Muskingum model among the hydraulics scientific community for control design.
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publishDate 2014-01-01
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spelling doaj-art-bc1d5629e3364646ad6b80b9d561454f2025-02-03T01:32:39ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/197907197907Discussion on Muskingum versus Integrator-Delay Models for Control ObjectivesYolanda Bolea0Vicenç Puig1Antoni Grau2Automatic Control Department, Technical University of Catalonia (UPC), Pau Gargallo 5, 08028 Barcelona, SpainAutomatic Control Department, Technical University of Catalonia (UPC), Pau Gargallo 5, 08028 Barcelona, SpainAutomatic Control Department, Technical University of Catalonia (UPC), Pau Gargallo 5, 08028 Barcelona, SpainA comparative study about two models, Muskingum and integrator-delay (ID) models, for canal control is presented. The former is a simplified hydrological model which is very simple and extensively used in hydraulic engineering for simulation and prediction. The latter is also a model with physical meaning and is widely used for irrigation canals control. Due to a lack of general awareness of Muskingum prediction model in regulation from the control community, authors present this comparative study with the ID control model. Both models have been studied and analyzed for control purposes. This study has been carried out and validated in a real irrigation canal, at Aghili irrigation district in Iran, using two traditional control approaches, PID with feedback and predictive control. The results demonstrate the advantages and drawbacks of both models, showing the benefits and limitations of using the widespread Muskingum model among the hydraulics scientific community for control design.http://dx.doi.org/10.1155/2014/197907
spellingShingle Yolanda Bolea
Vicenç Puig
Antoni Grau
Discussion on Muskingum versus Integrator-Delay Models for Control Objectives
Journal of Applied Mathematics
title Discussion on Muskingum versus Integrator-Delay Models for Control Objectives
title_full Discussion on Muskingum versus Integrator-Delay Models for Control Objectives
title_fullStr Discussion on Muskingum versus Integrator-Delay Models for Control Objectives
title_full_unstemmed Discussion on Muskingum versus Integrator-Delay Models for Control Objectives
title_short Discussion on Muskingum versus Integrator-Delay Models for Control Objectives
title_sort discussion on muskingum versus integrator delay models for control objectives
url http://dx.doi.org/10.1155/2014/197907
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