Digital Twin of Calais Canal with Model Predictive Controller

A Simulation on a Real Database

Journal article (2024)

Authors

Roza Ranjbar Institut Mines-Telecom
P. Segovia Castillo Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Eric Duviella Institut Mines-Telecom
Lucien Etienne Institut Mines-Telecom
José María Maestre University of Seville
Eduardo F. Camacho University of Seville
Research Group
Transport Engineering and Logistics (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2024 Roza Ranjbar, P. Segovia Castillo, Eric Duviella, Lucien Etienne, José M. Maestre, Eduardo F. Camacho
DOI: https://doi.org/10.1061/JWRMD5.WRENG-6266
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Published Date

2024

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Transport Engineering and Logistics

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.

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