• DocumentCode
    2960933
  • Title

    Pressure control of pneumatic-pressure-load system using generalized predictive controller

  • Author

    Chaewieang, Pipat ; Sirisantisamrit, Kaset ; Thepmanee, Teerawat

  • Author_Institution
    Dept. of Instrum. Eng., King Mongkut´´s Inst. of Technol., Bangkok
  • fYear
    2008
  • fDate
    5-8 Aug. 2008
  • Firstpage
    788
  • Lastpage
    791
  • Abstract
    This paper presents the pressure control by using generalized predictive controller (GPC) for the pneumatic-pressure-load system at which electro-pneumatic proportional pressure valve is employed as actuator. Since characteristic of one is time-varying and nonlinear, a three-order controlled auto-regressive moving average (CARMA) model suitable for pneumatic actuator is then used to modeling process system by using recursive least-squares method with forgetting factor to estimate the model parameter. For the proposed control method, system parameters are estimated only, state parameters are not. Experimental results show, both open and closed loop response, that overshoot happen for open loop response is eliminated and steady-state pressure is accurate enough.
  • Keywords
    autoregressive moving average processes; electropneumatic control equipment; least squares approximations; nonlinear control systems; pneumatic actuators; predictive control; pressure control; time-varying systems; valves; closed loop response; controlled auto-regressive moving average model; electro-pneumatic proportional pressure valve; generalized predictive controller; open loop response; pneumatic actuator; pneumatic-pressure-load system; pressure control; recursive least-squares method; Control systems; Nonlinear control systems; Open loop systems; Parameter estimation; Pneumatic actuators; Pressure control; Proportional control; Recursive estimation; Time varying systems; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2008. ICMA 2008. IEEE International Conference on
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-1-4244-2631-7
  • Electronic_ISBN
    978-1-4244-2632-4
  • Type

    conf

  • DOI
    10.1109/ICMA.2008.4798857
  • Filename
    4798857