• DocumentCode
    226562
  • Title

    Application of the fuzzy gain scheduling IMC-PID for the boiler pressure control

  • Author

    Xiao-Feng Li ; Shi-He Chen ; Ruiyuan Wu

  • Author_Institution
    Electr. Power Res. Inst. of Guangdong Power Group Co., Guangzhou, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    682
  • Lastpage
    688
  • Abstract
    In this paper, the use of a Fuzzy Gain Scheduling IMC-PID (FGS+IMC-PID) scheme has been presented based on fuzzy performance degree coefficient n self-adjusting controller for the improvement of IMC-PID control. It is shown that the IMC-PID controller with the Fuzzy PID parameters Gain Scheduler provides satisfactory closed-loop responses with less overshoot and shorter rising times in case of both set point disturbance and the plant/model mismatch. Simulations are given, in which the proposed method is compared to other PID tuning methods (IMC, SPMG). The proposed scheme is suitable to implement in the complex process control system in power generation, since it does not demand significant computing resources. It has already been implemented through Function Code in many typical DCS (EDPU, XDPS, Ovation etc). The industrial applications show that the scheme achieves better performance in specific load variation range.
  • Keywords
    boilers; fuzzy control; power generation control; power generation scheduling; pressure control; self-adjusting systems; three-term control; DCS; FGS+IMC-PID scheme; IMC-PID control; boiler pressure control; closed-loop responses; complex process control system; function code; fuzzy gain scheduling IMC-PID scheme; fuzzy performance degree coefficient; load variation range; plant-model mismatch; power generation; self-adjusting controller; set point disturbance; Heuristic algorithms; Job shop scheduling; Power systems; Process control; Robustness; Tuning; Uncertainty; IMC control; boiler-turbine coordinated control; fuzzy gain scheduling; fuzzy self-adjusting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891603
  • Filename
    6891603