• DocumentCode
    3598545
  • Title

    Partially decentralized control based on IMC for a benchmark boiler

  • Author

    Caifen Fu ; Wen Tan

  • Author_Institution
    Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2015
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    The boiler systems are multivariable nonlinear processes showing great interactions and input constraints under a wide range of operating conditions. This paper proposes a partially decentralized control (PDC) for the problem of a benchmark boiler under the load and pressure change. The design of partially decentralized controllers is based on the non-square internal model control (IMC) principle, which is applied to design non-square decentralized controllers and that are then transformed to partially decentralized ones. This method combines the advantages of decentralized control and multivariate centralized control, and considers the coupling of the plants, thus good performance can be achieved. The proposed method is applied to the boiler model proposed in an IFAC Conference, and the controller used in PID form. Simulation results show that partially decentralized control can achieve better performance than the existing decentralized control, and compared with the multivariable centralized control, it has a simpler structure and is easier to implement and tune, so it is of great practical application potential.
  • Keywords
    boilers; control system synthesis; decentralised control; multivariable control systems; nonlinear control systems; steam plants; three-term control; IFAC Conference; PDC; benchmark boiler system; multivariable nonlinear process; multivariate centralized control; nonsquare IMC principle; nonsquare decentralized controllers; nonsquare internal model control principle; partially decentralized control; Benchmark testing; Boilers; Decentralized control; Fuels; Mathematical model; PD control; Boiler; IMC; PID; Partially decentralized control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161662
  • Filename
    7161662