Predictive control of irrigation canals considering well-being of operators


Reference:

R. Ranjbar, A. Sadowska, J.M. Maestre, P.J. van Overloop, and B. De Schutter, "Predictive control of irrigation canals considering well-being of operators," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 731-736, July 2023.

Abstract:

We propose a model-predictive control (MPC) approach to solve a human-in-the-loop control problem for a non-automatic networked system with uncertain dynamics. There are no sensors or actuators installed in the system and we involve humans in the loop to travel between various nodes in the network and to provide the remote controller with measurements as well as actuating the system according to the control requirements. We compute the time instants at which the measurements and actuations should take place to yield better performance with respect to current control methods. We present simulation results using a numerical model of a real canal, the West-M canal in Arizona, and we demonstrate the superiority of the new method over previously proposed ones for such setting.

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Bibtex entry:

@inproceedings{RanSad:23-025,
author={R. Ranjbar and A. Sadowska and J.M. Maestre and P.J. van Overloop and B. {D}e Schutter},
title={Predictive control of irrigation canals considering well-being of operators},
booktitle={Proceedings of the 22nd IFAC World Congress},
address={Yokohama, Japan},
pages={731--736},
month=jul,
year={2023},
doi={10.1016/j.ifacol.2023.10.1653}
}


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