Evenness Control of Rapier Loom Tension by Using Neural Network

Evenness Control of Rapier Loom Tension by Using Neural Network

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 th...

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Veröffentlicht in:Dong Hua da xue xue bao. Zi ran ke xue ban. 2007, Vol.24 (2), p.248-251
1. Verfasser: 郑来久 杜冰 金伟 李芬
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Sprache:eng
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拉伸力
神经网络
纺织机
自适应控制
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creator 郑来久 杜冰 金伟 李芬
description 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.
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subjects 拉伸力
神经网络
纺织机
自适应控制
title Evenness Control of Rapier Loom Tension by Using Neural Network
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