Publication
Model predictive control and moving horizon estimation for water level regulation in inland waterways
Journal Article (2019)
Journal
Journal of Process Control
Pages
1-14
Volume
76
Doc link
https://doi.org/10.1016/j.jprocont.2018.12.017
File
Authors
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Segovia Castillo, Pau
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Rajaoarisoa, Lala
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Nejjari Akhi-Elarab, Fatiha
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Duviella, Eric
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Puig Cayuela, Vicenç
Projects associated
Abstract
This work regards the design of optimization techniques for the purposes of state estimation and control in the framework of inland waterways, often characterized by negligible bottom slopes and large time delays. The derived control-oriented model allows these issues to be handled in a suitable manner. Then, the analogous moving horizon estimation and model predictive control techniques are applied in a centralized manner to estimate the unmeasurable states and fulfill the operational goals, respectively. Finally, the performance of the methodology is tested in simulation by means of a realistic case study based on part of the inland waterways in the north of France. The results show that the proposed methodology is able to guarantee the navigability condition, as well as the other operational goals.
Categories
control theory, predictive control.
Author keywords
Inland waterways, control-oriented modeling, model predictive control, moving horizon estimation, time-delay systems
Scientific reference
P. Segovia, L. Rajaoarisoa, F. Nejjari, E. Duviella and V. Puig. Model predictive control and moving horizon estimation for water level regulation in inland waterways. Journal of Process Control, 76: 1-14, 2019.
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