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.