DocumentCode :
3595913
Title :
The Research on Controlling Method of Loom Warp Tension
Author :
Lei, Wang ; Jiancheng, Yang ; Xiaoqin, Han ; Lei, Li ; Yan, Liu ; Liangchao, Cong
Volume :
1
fYear :
2009
Firstpage :
115
Lastpage :
118
Abstract :
In the textile industry, in order to better control loom warp tension and obtain better quality fabrics, it was very pivotal to choose a good control algorithm. This paper emphatically carried on the design and analysis on three control methods, they were PID algorithm, fuzzy PID algorithm and single neuron adaptive PID algorithm. This article took the let-off system of SAURER400 loom as experimental object, and adopted the simulation system of MATLAB to check up the advantage and disadvantage of three control methods. The results showed that the simulation curve of single neuron adaptive PID control algorithm was fast response and small overshoot; In the process of weaving, this algorithm was very effective to control warp tension and obviously reduced the range of fluctuation of warp tension; Three kinds of algorithms designed in this article provided some methods to reference for controlling the warp tension of the loom in the future.
Keywords :
control system analysis; control system synthesis; fuzzy control; mechanical variables control; neurocontrollers; textile industry; three-term control; MATLAB; PID algorithm; SAURER400 loom; fuzzy PID algorithm; loom warp tension controlling method; single neuron adaptive PID algorithm; textile industry; Adaptive control; Algorithm design and analysis; Fabrics; Fuzzy control; MATLAB; Neurons; Programmable control; Textile industry; Three-term control; Weaving; PID; SAURER400 loom; fuzzy-PID; single neuron adaptive PID; warp tension control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Print_ISBN :
978-0-7695-3865-5
Type :
conf
DOI :
10.1109/ISCID.2009.36
Filename :
5370179
Link To Document :
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