• DocumentCode
    3458045
  • Title

    Distributed model predictive control and application to irrigation canal

  • Author

    Sutrisno ; Salmah ; Wijayanti, Indah E.

  • Author_Institution
    Dept. of Math., Gadjah Mada Univ., Yogyakarta, Indonesia
  • fYear
    2012
  • fDate
    23-26 Sept. 2012
  • Firstpage
    126
  • Lastpage
    130
  • Abstract
    Most of the literatures use game approach to design distributed controller such as Feasible Cooperation MPC and Nash-bargaining MPC that contains the weighting for linear convex combination of objective functions. In this paper, we propose a scheme to determine the weighting values that proportional to the control load for each subsystem. To observe the effect of our weighting scheme, we apply the weighting scheme to control the irrigation canal using Feasible-Cooperation MPC and Nash-bargaining MPC. We choose the weighting values are proportional to the volume for each subsystem. We compare the result with weighting that are same for all subsystems. From the numerical simulation results, the total cost of our weighting give better result.
  • Keywords
    distributed control; game theory; irrigation; predictive control; control load; distributed model predictive control; feasible-cooperation MPC; game approach; irrigation canal; linear convex combination; nash-bargaining MPC; numerical simulation; objective functions; weighting scheme; weighting values; Australia; Distributed MPC; Systemwide control; weighting scheme;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Systems & Industrial Informatics (ICCSII), 2012 IEEE Conference on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4673-1022-2
  • Type

    conf

  • DOI
    10.1109/CCSII.2012.6470486
  • Filename
    6470486