| 基于模型预测的经编送经动态张力补偿系统设计 |
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| 引用本文： | 郑宝平,蒋高明,夏风林,张爱军. 基于模型预测的经编送经动态张力补偿系统设计[J]. 纺织学报, 2021, 42(9): 163-169. DOI: 10.13475/j.fzxb.20201202807 |
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| 作者姓名： | 郑宝平 蒋高明 夏风林 张爱军 |
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| 作者单位： | 江南大学 针织技术教育部工程研究中心, 江苏 无锡 214122 |
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| 基金项目： | 中央高校基本科研业务费专项资金资助项目(JUSRP52013B);国家自然科学基金项目(61772238);泰山产业领军人才项目(tscy20180224) |
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| 摘 要： | 经编机编织过程中首先要实现控制经纱在1个横列内不同角度区域张力值的变化,才能达成纱线的动态张力补偿控制.为解决当前系统控制经轴送经量出现的纱线张力波动大,且无法精确到控制1个横列内不同角度纱线张力等缺陷,设计了一种基于模型预测的经编送经动态张力补偿系统.通过结合经编机成圈机构运动规律进行分析,设计出系统的硬件和软件平台...
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| 关 键 词： | 经编机 动态张力补偿 张力传感器 电子凸轮 控制算法 |
| 收稿时间： | 2020-12-10 |
Design of dynamic tension compensation system for warp knitting let-off based on model predictions |
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| ZHENG Baoping,JIANG Gaoming,XIA Fenglin,ZHANG Aijun. Design of dynamic tension compensation system for warp knitting let-off based on model predictions[J]. Journal of Textile Research, 2021, 42(9): 163-169. DOI: 10.13475/j.fzxb.20201202807 |
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| Authors: | ZHENG Baoping JIANG Gaoming XIA Fenglin ZHANG Aijun |
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| Affiliation: | Engineering Research Center for Knitting Technology, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214122, China |
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| Abstract: | In order to control the yarn dynamic tension compensation, warp knitting machines are required to control the variation of tension values in different angles in a cycle of knitting process. In view of the defects associated with controlling the let-off of warp beam, such as excessive yarn tension fluctuation and difficulty in accurate control of yarn tension with different angles in a row, a warp knitting let-off dynamic tension compensation system based on model prediction has been developed. To faclitate the yarn dynamic tension compensation control, a hardware and software platform of the system was designed, tension sensors were selected and optimized, algorithm for determining the electronic cam programming profile and the control algorithm for model prediction were created, on the basis of analyzing the movement law of the winding mechanism of the warp knitting machine. Through theoretical analysis and experimental validation, the control algorithm of model prediction is found to reduce the yarn tension peak value by at least 56% by analyzing the feedback yarn dynamic tension curve. |
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| Keywords: | warp knitting machine dynamic tension compensation tension sensor electronic cam control algorithm |
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