• DocumentCode
    507002
  • Title

    A Novel Fuzzy Tension Controller Based on Adaptive Line Speed

  • Author

    Ji, Wengang ; Dai, Fengyan ; Luo, Yu

  • Author_Institution
    Dept. of Mech. Eng., Beijing Inst. of Petro-Chem. Technol., Beijing, China
  • Volume
    4
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    32
  • Lastpage
    36
  • Abstract
    Due to the fact that tension system can be affected by many factors and its structures are complex, as well as its deep coupling, nonlinearity, time-variability, and indeterminacy of its parameters, there are still many problems on its basic theoretic, measuring and controlling technology to be solved. On the basis of inferred the system mathematic model and time-variant parameters radius, adopt line speed control (inner closed loop) and floating pulley block´s position feedback control (outer closed loop), the line speed feedback around time-variant parameters D2, weaken the influence to the whole system when it changes. Considering the variation of the paying-off winding-diameter, a control strategy based on fuzzy multiple models was presented, and a multiple models controller using fuzzy winding-diameter switching regulation was designed. The simulation results show that the expected control performances are achieved.
  • Keywords
    angular velocity control; feedback; fuzzy control; nonlinear control systems; position control; pulleys; time-varying systems; winding (process); adaptive line speed control; deep coupling parameter; feedback control; floating pulley block position control; fuzzy tension controller; fuzzy winding-diameter switching regulation; multiple models controller; nonlinearity parameter; time variant parameter; Adaptive control; Control systems; Couplings; Fuzzy control; Mathematical model; Mathematics; Nonlinear control systems; Programmable control; Pulleys; Velocity control; fuzzy control; nonlinearity; tension system; time-variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.684
  • Filename
    5359086