• DocumentCode
    2696827
  • Title

    A compatible energy-saving control algorithm for a class of conflicted multi-objective control problem

  • Author

    Xu, Lihong ; Hu, Qingsong ; Goodman, Erik D.

  • Author_Institution
    Tongji Univ., Shanghai
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    4446
  • Lastpage
    4453
  • Abstract
    A new two-layer multi-objective compatible control algorithm is proposed for a class of control problems with two conflicting control objectives, control error and energy consumption. The first layer is devoted to obtaining a user´s desired controlled objectives region, assured to be not only achievable but also Pareto-optimal. The second layer is devoted to designing an effective controller by optimizing the most important controlled objective (such as the energy consumption), subject to system constraints from the controlled objectives region in the first layer. This control algorithm provides an effective robust controller design method for multi-objective control problems with precise models and uncertain initial conditions. Simulations illustrate that the two-layer multi-objective compatible control (MOCC) algorithm has some advantages over traditional multi-objective control methods.
  • Keywords
    Pareto optimisation; control system synthesis; optimal control; robust control; search problems; Pareto-optimal front search; compatible energy-saving control algorithm; conflicted two-layer multiobjective control problem; robust controller design method; Constraint optimization; Control systems; Costs; Energy consumption; Error correction; Heating; Humidity; Hydrogen; Spraying; Temperature control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4425053
  • Filename
    4425053