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Evenness Control of Rapier Loom Tension by Using Neural Network

东华大学学报（英文版）2007，Vol.24Issue(2)：248-251,4.

Evenness Control of Rapier Loom Tension by Using Neural Network

作者信息

1. College of Textile and Light Industry, Dalian Institute of Light Industry, Dalian, Liaoning 116034, China;College of Textile and Light Industry, Dalian Institute of Light Industry, Dalian, Liaoning 116034, China;College of Automation, Northeastern University at Qinhuangdao, Qinhuangdao, Liaoning 166000, China;College of Automation, Northeastern University at Qinhuangdao, Qinhuangdao, Liaoning 166000, China
折叠

摘要

Abstract

The neural network model (NNM) is used to control the evenness of rapier loom tension and to model the uncertain parameters of drafting process. This model can estimate recursively the tension and incorporate predictive control strategies. After controlling the effect testing, it can be seen that the behavior is excellent following different set point and variations, such as the diameter of the beam of weaver, air stream, density of warp and weft, type of textile, etc. An optimum steady state scheme has been fixed in keeping evenness of tension of loom. This method improves obviously the efficiency and quality of production.

关键词

neural networks/adaptive control/rapier loom/tension

Key words

neural networks/adaptive control/rapier loom/tension

分类

轻工纺织

引用本文复制引用

..Evenness Control of Rapier Loom Tension by Using Neural Network[J].东华大学学报（英文版）,2007,24(2):248-251,4.

基金项目

Ministry of Education, China(No. 03028) （No. 03028）

Foundation Item of Liaoning Province, China(No. 2050866) （No. 2050866）

东华大学学报（英文版）

ISSN：1672-5220

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