DocumentCode
189251
Title
Water-level reference planning for automated irrigation channels via robust MPC
Author
Neshastehriz, Amir Reza ; Cantoni, Marco ; Shames, Iman
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Parkville, VIC, Australia
fYear
2014
fDate
24-27 June 2014
Firstpage
1331
Lastpage
1336
Abstract
In a water-level reference planning problem for automated irrigation channels, the object is to steer the system along trajectories that satisfy hard constraints on the regulated water levels and the flow commands produced by the underlying feedback controllers. The approach proposed here involves nominal trajectories that are devised off-line accounting for a forecast (i.e. schedule) of the demand (i.e. load input). The load actually drawn during operation is inevitably a perturbed version of this schedule. To achieve a level of robustness, insomuch as the deviation from nominal trajectories respects the constraints in the presence of such uncertainty, a Model Predictive Control (MPC) scheme is developed to adjust the nominal reference plan on-line. This receding horizon scheme involves time-varying constraints on the error relative to the nominal trajectories and a novel on-line approach to constraint tightening, which yields a robust feasibility property. Simulation results for a stretch of an automated irrigation channel are discussed.
Keywords
irrigation; predictive control; automated irrigation channels; feedback controllers; flow commands; model predictive control; nominal trajectories; off-line accounting; regulated water levels; robust MPC scheme; robustness; time-varying constraints; water-level reference planning problem; Irrigation; Predictive control; Robustness; Schedules; Trajectory; Uncertainty; Model Predictive Control; Open-Water Channels; Reference Planning; Robust Feasibility;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2014 European
Conference_Location
Strasbourg
Print_ISBN
978-3-9524269-1-3
Type
conf
DOI
10.1109/ECC.2014.6862420
Filename
6862420
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