Digital Twin of Calais Canal with Model Predictive Controller: A Simulation on a Real Database

Roza Ranjbar; P. Segovia Castillo; Eric Duviella; Lucien Etienne; José M. Maestre; Eduardo F. Camacho

doi:10.1061/JWRMD5.WRENG-6266

Digital Twin of Calais Canal with Model Predictive Controller: A Simulation on a Real Database

Roza Ranjbar^*, P. Segovia Castillo, Eric Duviella, Lucien Etienne, José M. Maestre, Eduardo F. Camacho

^*Corresponding author for this work

Transport Engineering and Logistics

Research output: Contribution to journal › Article › Scientific › peer-review

20 Downloads (Pure)

Abstract

This paper presents the design of a model predictive control (MPC) for the Calais canal, located in the north of France for satisfactory management of the system. To estimate the unknown inputs/outputs arising from the uncontrolled pumps, a digital twin (DT) in the framework of a Matlab-SIC2 is used to reproduce the dynamics of the canal, and the real database corresponding to a period of three days is employed to evaluate the control strategy. The canal is characterized by two operating modes due to high and low tides. As a consequence of this, time-varying constraints on the use of gates must be considered, which leads to the design of two multiobjective control problems, one for the high tide and another for the low tide. Furthermore, a moving horizon estimation (MHE) strategy is used to provide the MPC with unmeasured states. The simulation results show that the different objectives are met satisfactorily.

Original language	English
Article number	05024002
Number of pages	11
Journal	Journal of Water Resources Planning and Management
Volume	150
Issue number	5
DOIs	https://doi.org/10.1061/JWRMD5.WRENG-6266
Publication status	Published - 2024

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Digital twin (DT)
Inland waterways
Model predictive control (MPC)
Real database
Unknown inputs/outputs

Access to Document

10.1061/JWRMD5.WRENG-6266

ranjbar-et-al-2024-digital-twin-of-calais-canal-with-model-predictive-controller-a-simulation-on-a-real-databaseFinal published version, 1.51 MB

Cite this

@article{d2f0dfb985c24c3d9607759315cfce58,

title = "Digital Twin of Calais Canal with Model Predictive Controller: A Simulation on a Real Database",

abstract = "This paper presents the design of a model predictive control (MPC) for the Calais canal, located in the north of France for satisfactory management of the system. To estimate the unknown inputs/outputs arising from the uncontrolled pumps, a digital twin (DT) in the framework of a Matlab-SIC2 is used to reproduce the dynamics of the canal, and the real database corresponding to a period of three days is employed to evaluate the control strategy. The canal is characterized by two operating modes due to high and low tides. As a consequence of this, time-varying constraints on the use of gates must be considered, which leads to the design of two multiobjective control problems, one for the high tide and another for the low tide. Furthermore, a moving horizon estimation (MHE) strategy is used to provide the MPC with unmeasured states. The simulation results show that the different objectives are met satisfactorily.",

keywords = "Digital twin (DT), Inland waterways, Model predictive control (MPC), Real database, Unknown inputs/outputs",

author = "Roza Ranjbar and {Segovia Castillo}, P. and Eric Duviella and Lucien Etienne and Maestre, {Jos{\'e} M.} and Camacho, {Eduardo F.}",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",

year = "2024",

doi = "10.1061/JWRMD5.WRENG-6266",

language = "English",

volume = "150",

journal = "Journal of Water Resources Planning and Management",

issn = "0733-9496",

publisher = "American Society of Civil Engineers (ASCE)",

number = "5",

}

TY - JOUR

T1 - Digital Twin of Calais Canal with Model Predictive Controller

T2 - A Simulation on a Real Database

AU - Ranjbar, Roza

AU - Segovia Castillo, P.

AU - Duviella, Eric

AU - Etienne, Lucien

AU - Maestre, José M.

AU - Camacho, Eduardo F.

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2024

Y1 - 2024

N2 - This paper presents the design of a model predictive control (MPC) for the Calais canal, located in the north of France for satisfactory management of the system. To estimate the unknown inputs/outputs arising from the uncontrolled pumps, a digital twin (DT) in the framework of a Matlab-SIC2 is used to reproduce the dynamics of the canal, and the real database corresponding to a period of three days is employed to evaluate the control strategy. The canal is characterized by two operating modes due to high and low tides. As a consequence of this, time-varying constraints on the use of gates must be considered, which leads to the design of two multiobjective control problems, one for the high tide and another for the low tide. Furthermore, a moving horizon estimation (MHE) strategy is used to provide the MPC with unmeasured states. The simulation results show that the different objectives are met satisfactorily.

AB - This paper presents the design of a model predictive control (MPC) for the Calais canal, located in the north of France for satisfactory management of the system. To estimate the unknown inputs/outputs arising from the uncontrolled pumps, a digital twin (DT) in the framework of a Matlab-SIC2 is used to reproduce the dynamics of the canal, and the real database corresponding to a period of three days is employed to evaluate the control strategy. The canal is characterized by two operating modes due to high and low tides. As a consequence of this, time-varying constraints on the use of gates must be considered, which leads to the design of two multiobjective control problems, one for the high tide and another for the low tide. Furthermore, a moving horizon estimation (MHE) strategy is used to provide the MPC with unmeasured states. The simulation results show that the different objectives are met satisfactorily.

KW - Digital twin (DT)

KW - Inland waterways

KW - Model predictive control (MPC)

KW - Real database

KW - Unknown inputs/outputs

UR - http://www.scopus.com/inward/record.url?scp=85186141708&partnerID=8YFLogxK

U2 - 10.1061/JWRMD5.WRENG-6266

DO - 10.1061/JWRMD5.WRENG-6266

M3 - Article

AN - SCOPUS:85186141708

SN - 0733-9496

VL - 150

JO - Journal of Water Resources Planning and Management

JF - Journal of Water Resources Planning and Management

IS - 5

M1 - 05024002

ER -

Digital Twin of Calais Canal with Model Predictive Controller: A Simulation on a Real Database

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this