• DocumentCode
    623423
  • Title

    Research on control algorithm for weaving non-equal diameter tubular fabric with constant weft density

  • Author

    Sun Zhihong ; Li Zhiyao ; Zhou Shenhua ; Li Xiang

  • Author_Institution
    Mech. Eng. Coll., Donghua Univ., Shanghai, China
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    1589
  • Lastpage
    1593
  • Abstract
    A control algorithm of diameter changing and constant weft density for tubular fabric was first presented in this paper, in which the RBF (Radial Basis Function, RBF) neural network was used to approximate the shape function of tubular fabric. And on the basis of this, the chart of how the rotation angle of diameter changing cam to change over the time was worked out, and the relationship between absolute pulling speed and time was established too, which is under the condition of keeping the weft density constant. This control algorithm not only can realize online diameter changing, but also can maintain the weft density constant. In addition, it has the characteristics of high precision, fast computing speed and simple code.
  • Keywords
    fabrics; function approximation; production engineering computing; radial basis function networks; weaving; RBF neural network; constant weft density; nonequal diameter tubular fabrics; pulling speed; pulling time; radial basis function; shape function approximation; weaving; Biological neural networks; Fabrics; Function approximation; Neurons; Shape; Yarn; RBF neural network; constant weft density; function approximation; non-equal diameter tubular fabric;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-6320-4
  • Type

    conf

  • DOI
    10.1109/ICIEA.2013.6566622
  • Filename
    6566622