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
Link To Document