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 ac...

中文翻译：

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利用纸幅移动速度和自然振动频率实时预测纸幅张力

精确的纸幅张力测量对于卷对卷（R2R）制造系统中的纸幅处理和过程控制至关重要。通过平面外振动测量来计算纸幅张力，为R2R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。在本文中，首次提出了基于平面外纸幅振动的无接触传感的纸幅张力实时预测。我们设计和测试了一种基于傅立叶级数的快速频率估计算法，该算法解决了当应用常规FFT时实时应用中当前存在的频率分辨率问题。仿真结果表明，该方法基于较少的观测周期，可以准确估计谐波和白高斯噪声下的频率。建立了一个R2R测试平台，用于测试所提出算法的实时性能，其中包括ac ...