Reference
A. Sadowska, P.-J. van Overloop,
J. M.
Maestre, and B. De Schutter, "Human-in-the-loop control of an irrigation canal
using time instant optimization model predictive control,"
Proceedings of the 2015 European Control Conference, Linz,
Austria, pp. 3279-3284, July 2015.
Abstract
In the paper we discuss the recently introduced Mobile Model Predictive Control
(Mobile MPC) approach for an irrigation canal. Mobile MPC is a configuration of
MPC that explicitly incorporates the role of the human operator traveling
between the gates as ordered by a remote centralized controller. The operator
provides the controller with up-to-date measurements from the locations visited
and acts as the actuator as required by the remote controller. Mobile MPC
provides a solution in between fully manual and fully automatic canal
operation, as the first one may give poor performance and the second one might
be impracticable in some situations, where it is not possible to rely on the
equipment installed in the field. In the current paper we improve the
performance of the original Mobile MPC approach by allowing the controller to
decide the exact time instants when the operator should arrive at a specific
gate and change the gate's settings as well as we include a penalty in the
objective function for the controller to minimize the workload of the human
operator. We show that the new approach yields enhanced performance in
comparison to the previous method, and we demonstrate the benefits of the new
method as opposed to the previous one in a case study.
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BibTeX
@inproceedings{Sadvan:15-003,
author = {Sadowska, Anna and van Overloop, Peter-Jules and Maestre,
Jos{\'{e}} M. and De Schutter, Bart},
title = {Human-in-the-Loop Control of an Irrigation Canal Using Time
Instant Optimization Model Predictive Control},
booktitle = {Proceedings of the 2015 European Control Conference},
address = {Linz, Austria},
pages = {3279--3284},
month = jul,
year = {2015}
}