• DocumentCode
    2009590
  • Title

    Generalized Predictive Control for Constraint Hybrid System

  • Author

    Han, Pu ; Zhang, Yue ; Wang, Dong F. ; Xu, Da P.

  • Author_Institution
    North China Electr. Power Univ., Baoding
  • fYear
    2007
  • fDate
    May 30 2007-June 1 2007
  • Firstpage
    2495
  • Lastpage
    2498
  • Abstract
    Aiming at the properties of the object of the hybrid system, the modeling method based on the mixed logic dynamical (MLD) model has been introduced, the continuous dynamic process and the discrete dynamic process in the hybrid system are expressed into state space equations with mixed-integer inequality constraints. Through the enlargement of the classical generalized predictive control (GPC)´s object, the mixed integer quadratic programming is used to get the best GPC´s control rule of the hybrid system with constraints. The simulation result shows that the GPC based on MLD model is able to stabilize the hybrid system on the desired output, and the system has better characters.
  • Keywords
    continuous systems; discrete systems; integer programming; predictive control; quadratic programming; stability; state-space methods; constraint hybrid system; continuous dynamic process; discrete dynamic process; generalized predictive control; mixed integer quadratic programming; mixed logic dynamical model; stability; state space equation; Automatic control; Automation; Control systems; Electronic mail; Equations; Logic; Power system modeling; Predictive control; Predictive models; Process control; constraint; generalized predictive control; hybrid system; mixed logic dynamical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-0818-4
  • Electronic_ISBN
    978-1-4244-0818-4
  • Type

    conf

  • DOI
    10.1109/ICCA.2007.4376811
  • Filename
    4376811