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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Improvement of Navigation Conditions Using Model Predictive Control - The Cuinchy-Fontinettes Case Study
verfasst von : Klaudia Horváth, Eric Duviella, Lala Rajaoarisoa, Rudy R. Negenborn, Karine Chuquet
Erschienen in: Computational Logistics
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A considerable shift from road transport to inland navigation and railway is expected in the following years in France. By focusing on inland navigation, this expected increase of transport will require an efficient management of the infrastructure and water. Inland navigation requires water levels kept within the navigation rectangle. Hence it is necessary to design efficient control algorithms for water levels. Model Predictive Control (MPC) is proposed to regulate the water level of canals with locks. This controller maintains the level close to the navigation objective by rejecting disturbances mainly caused by lock operations. In this paper, MPC is designed by considering realistic constraints on the dynamics of the gates and the available supplied discharges. It allows taking into account several operating conditions that correspond to normal, drought and flood situations. MPC strategy is tested on a numerical simulation of the Cuinchy-Fontinettes reach that is located in the north of France.