• DocumentCode
    3542526
  • Title

    Research on the controller of the digital cabin pressure regulating system based on the fuzzy gain scheduling

  • Author

    Zhu, Lei ; Fu, Yongling ; Zhao, Jingquan ; Guo, Dong

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    Based on the cabin pressure regulating system characters of the nonlinear, larger inertia and time varying parameter, the arithmetic of fuzzy gain scheduling was proposed in this paper. The control parameters can be optimized globally using the controller based on the fuzzy gain scheduling because the fuzzy inference was used to changes the parameters of the controller online to adapt the change of work point according to the output error and error change rate. When deciding the membership functions of P and I, the system response will become better in the premises of system stable if the exponent function was introduced. The simulation results show that cabin pressure and pressure rate of change meet the needs of a certain type of aircraft environmental control system specifications, and the effectiveness of the new control strategy proposed in this paper was proved.
  • Keywords
    aerospace engineering; aircraft control; fuzzy reasoning; scheduling; time-varying systems; aircraft environmental control system specification; control parameters; digital cabin pressure regulating system; exponent function; fuzzy gain scheduling; fuzzy inference; membership functions; time varying parameter; Aerospace control; Aircraft; Arithmetic; Control systems; Digital control; Error correction; Fuzzy control; Fuzzy systems; Pressure control; Time varying systems; cabin pressure regulating system; fuzzy control; gain scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274273
  • Filename
    5274273