| Evenness Control of Rapier Loom Tension by Using Neural Network |
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| 作者姓名： | 郑来久 杜冰 金伟 李芬 |
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| 作者单位： | [1]Collegeof Textile and Light Industry, Dalian Institute of Light Industry, Dalian, Liaoning 116034, China [2]College of Automation, Northeastern University at Qinhuangdao, Qinhuangdao, Liaoning 166000, China |
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| 基金项目： | 教育部资助项目
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Foundation Item of Liaoning Province, China |
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| 摘 要： | 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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| 关 键 词： | 神经网络 自适应控制 拉伸力 纺织机 |
| 文章编号： | 1672-5220（2007）02-0248-04 |
| 修稿时间： | 2006-08-20 |
Evenness Control of Rapier Loom Tension by Using Neural Network |
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| ZHENG Lai-jiu,DU Bing,JIN Wei,LI Fen.Evenness Control of Rapier Loom Tension by Using Neural Network[J].Journal of Donghua University,2007,24(2):248-251. |
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| Authors: | ZHENG Lai-jiu DU Bing JIN Wei LI Fen |
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| Institution: | 1. College of Textile and Light Industry, Dalian Institute of Light Industry, Dalian, Liaoning 116034, China
2. College of Automation, Northeastern University at Qinhuangdao, Qinhuangdao, Liaoning 166000, China |
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| 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. |
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| Keywords: | neural networks adaptive control rapier loom tension |
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