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 :
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