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Offset-Free Model Predictive Control of an Open Water Channel Based on Moving Horizon Estimation.

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Title: Offset-Free Model Predictive Control of an Open Water Channel Based on Moving Horizon Estimation.
Authors: Aydin, Boran Ekin1 b.e.aydin@tudelft.nl, van Overloop, P. J.2, Rutten, Martine3 m.m.rutten@tudelft.nl, Xin Tian4 xin_tian@sutd.edu.sg
Source: Journal of Irrigation & Drainage Engineering. Mar2017, Vol. 143 Issue 3, p1-9. 9p.
Subjects: Channels (Hydraulic engineering), Predictive control systems, Estimation theory, Mathematical models of hydrodynamics, Control theory (Engineering)
Abstract: Open water systems such as irrigation canals are used to transport and deliver water from the source to the user. Water loss in these systems by seepage, leakage, evaporation, or unknown water offtakes can be large. If this loss is unknown to the model used, it will not be considered by the controller and create a real system model mismatch. This mismatch will affect the water level directly and create an offset from the reference set point of the water level. A control configuration for open water canals, model predictive control (MPC) based on moving horizon estimation (MHE-MPC), to deal with offset problems resulting from real system-model mismatch is described in this paper. MHE uses the past predictions of the model and the past measurements of the system to estimate unknown disturbances and systematically removes the offset in the controlled water level. This control configuration is numerically tested on an accurate hydrodynamic model of the Control Algorithms Test Canal of the Technical University of Catalonia (UPC-PAC). The results presented in this paper show that MHE-MPC can realize offset-free control and the results are better than those of the well-known disturbance modelling offset-free control scheme. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Irrigation & Drainage Engineering is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 121404842
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PubTypeId: academicJournal
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  Data: Offset-Free Model Predictive Control of an Open Water Channel Based on Moving Horizon Estimation.
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  Data: <searchLink fieldCode="AR" term="%22Aydin%2C+Boran+Ekin%22">Aydin, Boran Ekin</searchLink><relatesTo>1</relatesTo><i> b.e.aydin@tudelft.nl</i><br /><searchLink fieldCode="AR" term="%22van+Overloop%2C+P%2E+J%2E%22">van Overloop, P. J.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Rutten%2C+Martine%22">Rutten, Martine</searchLink><relatesTo>3</relatesTo><i> m.m.rutten@tudelft.nl</i><br /><searchLink fieldCode="AR" term="%22Xin+Tian%22">Xin Tian</searchLink><relatesTo>4</relatesTo><i> xin_tian@sutd.edu.sg</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Irrigation+%26+Drainage+Engineering%22">Journal of Irrigation & Drainage Engineering</searchLink>. Mar2017, Vol. 143 Issue 3, p1-9. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Channels+%28Hydraulic+engineering%29%22">Channels (Hydraulic engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models+of+hydrodynamics%22">Mathematical models of hydrodynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Control+theory+%28Engineering%29%22">Control theory (Engineering)</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Open water systems such as irrigation canals are used to transport and deliver water from the source to the user. Water loss in these systems by seepage, leakage, evaporation, or unknown water offtakes can be large. If this loss is unknown to the model used, it will not be considered by the controller and create a real system model mismatch. This mismatch will affect the water level directly and create an offset from the reference set point of the water level. A control configuration for open water canals, model predictive control (MPC) based on moving horizon estimation (MHE-MPC), to deal with offset problems resulting from real system-model mismatch is described in this paper. MHE uses the past predictions of the model and the past measurements of the system to estimate unknown disturbances and systematically removes the offset in the controlled water level. This control configuration is numerically tested on an accurate hydrodynamic model of the Control Algorithms Test Canal of the Technical University of Catalonia (UPC-PAC). The results presented in this paper show that MHE-MPC can realize offset-free control and the results are better than those of the well-known disturbance modelling offset-free control scheme. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Irrigation & Drainage Engineering is the property of American Society of Civil Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1061/(ASCE)IR.1943-4774.0001085
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 9
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    Subjects:
      – SubjectFull: Channels (Hydraulic engineering)
        Type: general
      – SubjectFull: Predictive control systems
        Type: general
      – SubjectFull: Estimation theory
        Type: general
      – SubjectFull: Mathematical models of hydrodynamics
        Type: general
      – SubjectFull: Control theory (Engineering)
        Type: general
    Titles:
      – TitleFull: Offset-Free Model Predictive Control of an Open Water Channel Based on Moving Horizon Estimation.
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            NameFull: Aydin, Boran Ekin
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            NameFull: van Overloop, P. J.
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            NameFull: Rutten, Martine
      – PersonEntity:
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            NameFull: Xin Tian
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            – D: 01
              M: 03
              Text: Mar2017
              Type: published
              Y: 2017
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              Value: 143
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            – TitleFull: Journal of Irrigation & Drainage Engineering
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