• DocumentCode
    538829
  • Title

    The Comparison of Three Kinds of Control Algorithms in Control of Warp Tension

  • Author

    Dandan, Li ; Jiancheng, Yang ; Yongli, Zhao ; Zexu, Zhou ; Lei, Li

  • Author_Institution
    Sch. of Mech. & Electron. Eng., Tianjin Polytech. Univ., Tianjin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    55
  • Lastpage
    58
  • Abstract
    Loom warp tension had a significant impact on the quality of fabric. In order to better control warp tension of rapier loom and prevent negative impacts on the quality of the fabric by reason of the excessive fluctuation. This paper took let-off system of SAURER400 rapier loom as experimental subject and adopted the simulation system of MATLAB to check up the advantage and disadvantage of three kinds of commonly used control algorithm (PID, fuzzy-PID, single neuron adaptive PID) on control warp tension. The experimental results showed that single neuron adaptive PID control algorithm is superior to PID control and fuzzy PID control in the area of response time and overshoot, etc, and the single neuron adaptive PID control can reduce the warp tension fluctuation effectively.
  • Keywords
    adaptive control; fabrics; fuzzy control; neurocontrollers; quality control; textile industry; textile machinery; three-term control; weaving; MATLAB; SAURER400 rapier loom; control warp tension; fabric quality; fuzzy PID control; single neuron adaptive PID control; Adaptation model; Adaptive systems; Control systems; Fabrics; Fuzzy control; Mathematical model; Neurons; SAURER400 loom; algorithm; fuzzy PID; single neuron adaptive PID; warp tension;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.252
  • Filename
    5708677