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

Download the digital copy of the doc pdf document

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.