• DocumentCode
    128675
  • Title

    Application of improved generalized predictive control to coordinated control system in supercritical unit

  • Author

    Guolian Hou ; Xu Bai ; Rong Huang

  • Author_Institution
    Control & Comput. Eng. Dept., North China Electr. Power Univ., Beijing, China
  • fYear
    2014
  • fDate
    9-11 June 2014
  • Firstpage
    1591
  • Lastpage
    1595
  • Abstract
    The coordinated control system (CCS) is a complicated system with large delay, nonlinearity and strong coupling. Traditional control strategy is difficult to obtain satisfactory control effect because of the low tracking speed and large overshoot. In this paper, an improved generalized predictive control (IGPC) is proposed and it is applied to a 1000MW supercritical unit. In order to take full advantage of predictive information and use the change trends of the manipulated variables to amend the optimal control, the IGPC is designed as follows. Firstly, the optimal control is calculated by minimizing the objective function. Then the predictive information is fully used to obtain the improved control increment. Finally, the improved control law is obtained. This algorithm can achieve higher tracking speed and less overshoot than traditional GPC. The simulation results illustrate the effectiveness of the algorithm.
  • Keywords
    boilers; control nonlinearities; delays; optimal control; power system control; predictive control; turbines; CCS; IGPC; change trends; coordinated control system; delay; improved control increment; improved generalized predictive control; low tracking speed; nonlinearity; optimal control; satisfactory control effect; strong coupling; supercritical unit; Boilers; Optimal control; Power generation; Power systems; Prediction algorithms; Predictive control; IGPC; Improved generalized predictive control; coordinated control system; supercritical unit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4316-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2014.6931422
  • Filename
    6931422