• DocumentCode
    456566
  • Title

    Research of Multivariable GPC and Its Application in Thermal Power Plant

  • Author

    Guo, Peng

  • Author_Institution
    Dept. of Autom., North China Electr. Power Univ., Beijing
  • Volume
    1
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    35
  • Lastpage
    38
  • Abstract
    GPC (generalized predictive control) is widely used in the control of plant with inertia and delay. This paper proposes feed-forward and feedback GPC in the control of MIMO system. The coupling is treated as knowable exterior disturbance and considered during the designing process of GPC controllers. With structure analysis, the new controller is equivalent to feed-forward and feedback control system. But the new GPC controller has the merits of rolling optimization and without tuning parameters. The new method is introduced into the control of 300 MW unit load system which is a 2times2 multivariable system. Simulations prove that the new method could meet the requirements of quick load response ability and maintaining the stability of steam pressure. The robustness of the new method is also satisfactory
  • Keywords
    MIMO systems; control system synthesis; feedback; feedforward; load regulation; optimisation; power generation control; power system stability; predictive control; thermal power stations; 300 MW; 300MW unit load system control; MIMO system; coupling; delay; feed-forward control; feedback control; generalized predictive control; inertia; load response ability; multivariable system; rolling optimization; steam pressure stability; thermal power plant; Control system analysis; Control systems; Delay; Feedback; Feedforward systems; MIMO; Power generation; Predictive control; Process control; Process design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.144
  • Filename
    1691735