A Control Simulation Tool for Online Demand Calibration

Developing fast calibration algorithms is an important step towards the online simulation of hydraulic water networks. The ob- jective of this paper is to report a new demand calibration approach by using algorithms from control theory. We propose a multivariable PID control where the control parame...

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Veröffentlicht in:Procedia engineering Jg. 119; S. 828 - 833
Hauptverfasser: Braun, Mathias, Bernard, Thomas, Piller, Olivier, Montalvo, Idel, Deuerlein, Jochen
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 2015
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ISSN:1877-7058, 1877-7058
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Abstract Developing fast calibration algorithms is an important step towards the online simulation of hydraulic water networks. The ob- jective of this paper is to report a new demand calibration approach by using algorithms from control theory. We propose a multivariable PID control where the control parameters are identified by a system identification approach and the system matrix is decoupled. In this control approach the measured flow variables are regarded as dynamic set-points. The controllers use the demand values as manipulated variables in order to control the flow variables to the measured flow. The concept was applied successfully using a small test-network.
AbstractList Developing fast calibration algorithms is an important step towards the online simulation of hydraulic water networks. The objective of this paper is to report a new demand calibration approach by using algorithms from control theory. We propose a multivariable PID control where the control parameters are identified by a system identification approach and the system matrix is decoupled. In this control approach the measured flow variables are regarded as dynamic set-points. The controllers use the demand values as manipulated variables in order to control the flow variables to the measured flow. The concept was applied successfully using a small test-network.
Developing fast calibration algorithms is an important step towards the online simulation of hydraulic water networks. The ob- jective of this paper is to report a new demand calibration approach by using algorithms from control theory. We propose a multivariable PID control where the control parameters are identified by a system identification approach and the system matrix is decoupled. In this control approach the measured flow variables are regarded as dynamic set-points. The controllers use the demand values as manipulated variables in order to control the flow variables to the measured flow. The concept was applied successfully using a small test-network.
Author Braun, Mathias
Deuerlein, Jochen
Bernard, Thomas
Montalvo, Idel
Piller, Olivier
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  givenname: Jochen
  surname: Deuerlein
  fullname: Deuerlein, Jochen
  organization: 3S Consult GmbH, Karlsruhe, Germany
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Cites_doi 10.1080/15730620802613380
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Keywords Water distribution networks
Network security
PID controllers
Least-squares method
Real-time demand calibration
RESEAU DE DISTRIBUTION D'EAU
SECURITE
CALAGE DE MODELE
Language English
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References Carpentier, Cohen (bib0020) 1991; 8
de Schaetzen W.B.F., Optimal Calibration and Sampling Design for Hydraulic Network Models, in
Piller O., Gilbert D., and Van Zyl J., 2011. Dual Calibration for Coupled Flow and Transport Models of Water Distribution Systems, in “Water Distribution Systems Analysis 2010”, Tucson, AZ,;1; (2011), pp. 722-731.
Exeter, UK, (1000), 277 pages.
Kapelan Z., 2002. Calibration of water distribution system hydraulic models, in “Engineering thesis from the Univ. of Exeter”, Exeter, UK,;1; (2002), 335 pages.
SMaRT-OnlineWDN, 2015. http://www.smart-onlinewdn.eu/, access on 16th April 2015.
Preis, Whittle, Ostfeld, Perelman (bib0040) 2011; 137
Savic, Kapelan, Jonkergouw (bib0035) 2009; 6
Piller O., 1995. Modeling the behavior of a network - Hydraulic analysis and sampling procedures for parameter estimation, in “Applied Mathematics thesis from the University of Bordeaux (PRES)”, Talence, France, (1995), 288 pages (in French).
Piller, Montalvo, Deuerlein, Gilbert, Braun, Ung (bib0010) 2014
Piller O., Bremond B., and Morel P., 1999. A Spatial Sampling Procedure for Physical Diagnosis in a Drinking Water Supply Network, in “International Conference on Computing and Control for the Water Industry CCWI ‘99”, Exeter, UK, Vol. 1/2, (1999), pp. 309-316.
10.1016/j.proeng.2015.08.946_bib0050
10.1016/j.proeng.2015.08.946_bib0030
Savic (10.1016/j.proeng.2015.08.946_bib0035) 2009; 6
10.1016/j.proeng.2015.08.946_bib0045
Carpentier (10.1016/j.proeng.2015.08.946_bib0020) 1991; 8
10.1016/j.proeng.2015.08.946_bib0025
Piller (10.1016/j.proeng.2015.08.946_bib0010) 2014
10.1016/j.proeng.2015.08.946_bib0015
10.1016/j.proeng.2015.08.946_bib0005
Preis (10.1016/j.proeng.2015.08.946_bib0040) 2011; 137
References_xml – reference: ”, Exeter, UK, (1000), 277 pages.
– volume: 8
  start-page: 247
  year: 1991
  end-page: 257
  ident: bib0020
  article-title: State Estimation and Leak Detection in Water Distribution Networks
  publication-title: in “Civil Engineering Systems”
– reference: Kapelan Z., 2002. Calibration of water distribution system hydraulic models, in “Engineering thesis from the Univ. of Exeter”, Exeter, UK,;1; (2002), 335 pages.
– reference: Piller O., Bremond B., and Morel P., 1999. A Spatial Sampling Procedure for Physical Diagnosis in a Drinking Water Supply Network, in “International Conference on Computing and Control for the Water Industry CCWI ‘99”, Exeter, UK, Vol. 1/2, (1999), pp. 309-316.
– reference: de Schaetzen W.B.F., Optimal Calibration and Sampling Design for Hydraulic Network Models, in “
– start-page: 3
  year: 2014
  ident: bib0010
  article-title: A Gradient-type Method for Real-Time State Estimation of Water Distribution Networks
  publication-title: 11th International Conference on Hydroinformatics, HIC2014 At New York, USA, 17-21 August 2014
– reference: Piller O., 1995. Modeling the behavior of a network - Hydraulic analysis and sampling procedures for parameter estimation, in “Applied Mathematics thesis from the University of Bordeaux (PRES)”, Talence, France, (1995), 288 pages (in French).
– volume: 6
  start-page: 3
  year: 2009
  end-page: 22
  ident: bib0035
  article-title: Quo vadis water distribution model calibration?
  publication-title: in “Urban Water Journal”
– reference: Piller O., Gilbert D., and Van Zyl J., 2011. Dual Calibration for Coupled Flow and Transport Models of Water Distribution Systems, in “Water Distribution Systems Analysis 2010”, Tucson, AZ,;1; (2011), pp. 722-731.
– volume: 137
  start-page: 343
  year: 2011
  end-page: 351
  ident: bib0040
  article-title: Efficient Hydraulic State Estimation Technique Using Reduced Models of Urban Water Networks, in
  publication-title: Journal of Water Resources Planning and Management
– reference: SMaRT-OnlineWDN, 2015. http://www.smart-onlinewdn.eu/, access on 16th April 2015.
– start-page: 3
  year: 2014
  ident: 10.1016/j.proeng.2015.08.946_bib0010
  article-title: A Gradient-type Method for Real-Time State Estimation of Water Distribution Networks
  publication-title: 11th International Conference on Hydroinformatics, HIC2014 At New York, USA, 17-21 August 2014
– ident: 10.1016/j.proeng.2015.08.946_bib0015
– ident: 10.1016/j.proeng.2015.08.946_bib0005
– ident: 10.1016/j.proeng.2015.08.946_bib0030
– volume: 6
  start-page: 3
  issue: 1
  year: 2009
  ident: 10.1016/j.proeng.2015.08.946_bib0035
  article-title: Quo vadis water distribution model calibration?
  publication-title: in “Urban Water Journal”
  doi: 10.1080/15730620802613380
– volume: 137
  start-page: 343
  issue: 4
  year: 2011
  ident: 10.1016/j.proeng.2015.08.946_bib0040
  article-title: Efficient Hydraulic State Estimation Technique Using Reduced Models of Urban Water Networks, in
  publication-title: Journal of Water Resources Planning and Management
  doi: 10.1061/(ASCE)WR.1943-5452.0000113
– volume: 8
  start-page: 247
  year: 1991
  ident: 10.1016/j.proeng.2015.08.946_bib0020
  article-title: State Estimation and Leak Detection in Water Distribution Networks
  publication-title: in “Civil Engineering Systems”
  doi: 10.1080/02630259108970634
– ident: 10.1016/j.proeng.2015.08.946_bib0025
– ident: 10.1016/j.proeng.2015.08.946_bib0050
– ident: 10.1016/j.proeng.2015.08.946_bib0045
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Snippet Developing fast calibration algorithms is an important step towards the online simulation of hydraulic water networks. The ob- jective of this paper is to...
Developing fast calibration algorithms is an important step towards the online simulation of hydraulic water networks. The objective of this paper is to report...
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SubjectTerms Engineering Sciences
Least-squares method
Mathematics
Network security
PID controllers
Real-time demand calibration
Water distribution networks
Title A Control Simulation Tool for Online Demand Calibration
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