Reference
R. R. Negenborn, P.-J. van Overloop, and
B. De Schutter, "Coordinated distributed model predictive reach control of
irrigation canals,"
Proceedings of the European Control
Conference 2009, Budapest, Hungary, pp. 1420-1425, Aug. 2009.
Abstract
Irrigation canals are large-scale systems, covering vast geographical areas,
and consisting of many interconnected canal reaches that interact with control
structures such as pumps and gates. The control of such irrigation canals is
usually done in a manual way, in which a human operator travels along the
irrigation canal to adjust the settings of the gates and pumps in order to
obtain a desired water level. In this paper we discuss how distributed model
predictive control (MPC) can be applied to determine autonomously what the
settings of these control structures should be. In particular, we propose the
application of a distributed MPC scheme for control of the West-M irrigation
canal in Arizona. We present a linearized model representing the dynamics of
the canal, we propose a distributed MPC scheme that uses this model as a
prediction model, and we illustrate the performance of the scheme in simulation
studies on a nonlinear simulation model of the canal.
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BibTeX
@inproceedings{Negvan:09-013,
author = {Negenborn, Rudi R. and van Overloop, Peter-Jules and De
Schutter, Bart},
title = {Coordinated Distributed Model Predictive Reach Control of
Irrigation Canals},
booktitle = {Proceedings of the European Control Conference 2009},
address = {Budapest, Hungary},
pages = {1420--1425},
month = aug,
year = {2009}
}