Real-time web tension prediction using web moving speed and natural vibration frequency
Real-time web tension prediction using web moving speed and natural vibration frequency
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DOI：
10.1088/1361-6501/aba3f4
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发表时间：
2020-09
影响因子：
2.4
通讯作者：
Jingyang Yan;Xiangyu Du
中科院分区：
文献类型：
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作者：
Jingyang Yan;Xiangyu Du
精确的卷筒纸张力测量对于卷对卷（R2 R）制造系统中的卷筒纸处理和工艺控制至关重要。通过面外振动测量计算纸幅张力为R2 R过程中的张力测量提供了一种非接触式解决方案，适用于无法应用接触式纸幅张力测量传感器的情况。本文首次提出了一种基于非接触式纸幅离面振动传感的纸幅张力实时预测方法。设计并测试了一种基于傅立叶级数的快速频率估计算法，解决了目前实时应用中传统FFT时存在的频率分辨率问题。仿真结果表明，该方法在谐波和白色高斯噪声环境下，仅需少量观测周期，就能准确估计频率。建立了一个R2 R测试平台，测试了算法的实时性能，包括准确性、鲁棒性和计算速度。实验结果表明，该方法能够在50 ms的分析窗口内跟踪纸幅张力的变化，对各种张力值的预测误差均小于10%.
Precise web tension measurement is critical for web handling and process control in roll-to-roll (R2R) manufacturing systems. Calculating web tension by using out-of-plane vibration measurement offers a contactless solution to tension measurement during the R2R process, which is suitable for situations where contacting web tension measurement sensors cannot be applied. In this paper, a real-time prediction of web tension based on contactless sensing of out-of-plane web vibration is presented for the first time. We design and test a fast frequency estimation algorithm, based on the Fourier series, which solves the frequency resolution problem currently existing in real-time applications when conventional FFT is applied. Our simulation results show that the proposed method has an accurate estimation of frequency under harmonics and white Gaussian noise based on few observed cycles. A R2R testbed was built for testing the real-time performance of the proposed algorithm including accuracy, robustness, and computation speed. The experimental results on the testbed show that the proposed method can predict the web tension with an error less than 10% for various tension values and track the tension changes within one analysis window of 50 ms.