• 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