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Enhancing Inland Navigation by Model Predictive Control of Water Levels: The Cuinchy-Fontinettes Case

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Transport of Water versus Transport over Water

Part of the book series: Operations Research/Computer Science Interfaces Series ((ORCS,volume 58))

Abstract

Navigation canals are used for transport purposes. In order to allow safe navigation the water level should be kept in a certain range around the Normal Navigation Level (NNL). The water level is disturbed by known and unknown inputs, like tributaries, municipal water flows, rain, etc. Some of these inputs can be used to control the water level. If the geometry requires it, canal reaches are connected by locks. The operation of these locks sometimes can disturb the water level, if the difference between the upstream and downstream water level is large. The objective is to minimize the disturbances caused by these lock operations on the water level in order to maintain the NNL. In this work the global management of the canal reach is discussed and an option to maintain the NNL by active control is introduced. Some inputs to the system, such as other confluences or gates on the side of the locks, can be controlled automatically to react to the disturbances caused by the lock operations using model predictive control to maintain the desired water level.

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Acknowledgements

This work is a contribution to the GEPET-Eau project which is granted by the French ministry MEDDE—GICC, the French institution ORNERC and the DGITM.

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Authors and Affiliations

  1. Institut Mines Telecom, Mines Douai, Doaui, France

    K. Horváth, L. Rajaoarisoa, E. Duviella & M. Petreczky

  2. Technical University of Catalonia, Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Barcelona, Spain

    J. Blesa

  3. Voies Navigables de France, Lille, France

    K. Chuquet

Authors
  1. K. Horváth
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  2. L. Rajaoarisoa
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  3. E. Duviella
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  4. J. Blesa
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  5. M. Petreczky
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  6. K. Chuquet
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Corresponding author

Correspondence to K. Horváth .

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Editors and Affiliations

  1. Universitat Politècnica de Catalunya, Inst. de Robòtica i Informàtica Industrial (CSIC-UPC), Barcelona, Spain

    Carlos Ocampo-Martinez

  2. Maritime and Transport Technology, Delft University of Technology, Delft, The Netherlands

    Rudy R. Negenborn

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Horváth, K., Rajaoarisoa, L., Duviella, E., Blesa, J., Petreczky, M., Chuquet, K. (2015). Enhancing Inland Navigation by Model Predictive Control of Water Levels: The Cuinchy-Fontinettes Case. In: Ocampo-Martinez, C., Negenborn, R. (eds) Transport of Water versus Transport over Water. Operations Research/Computer Science Interfaces Series, vol 58. Springer, Cham. https://doi.org/10.1007/978-3-319-16133-4_12

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