Improvement of accuracy for continuous mass measurement in checkweighers with an adaptive notch filter
Improvement of accuracy for continuous mass measurement in checkweighers with an adaptive notch filter
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使用自适应陷波滤波器提高检重秤连续质量测量的精度
DOI：
10.9746/sicetr.47.477
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Y. Kagawa
中科院分区：
文献类型：
--
作者：
T. Umemoto;Y. Sasamoto;M. Adachi;Y. Kagawa
随着制造业自动化程度的提高，对快速准确的质量测量系统的需求越来越大。目前，许多企业对主动式带式输送机的需求很大。然而，在主动带式输送机的观测信号中包含了三种机械噪声：一种特殊频率、一种电机频率、一种皮带轮频率。因此，为了提高精度，我们必须去除这些噪声。在目前的质量测量系统中，采用移动法来去除这些噪声。然而，只有在移动平均法中才能更快、更准确地进行测量。因此，我们提出了一种基于复LMS算法的频谱分析方法。在该方法中，每个分析频率都收敛观测信号中包含的振荡元素。由于收敛时间取决于称为步长参数的常量值，因此即使在获得的信号很少的情况下，噪声也被去除，并且精度似乎有所提高。在本研究中，实验验证了该方法的实用性。
With increased automation in the manufacturing industry, the demand for a quick and accurate mass measurement system is growing. Currently, the active belt conveyer is demanded by many enterprises. However, three mechanical noises, a peculiar frequency, a frequency of motor, a frequency of Belt pulley, are included in the observation signal from the active belt conveyer. Therefore, we have to remove those noises for the accuracy. In the current mass measurement system, the moving method is applied to remove those noises. However, it is inadequate only in the moving average method for more quick and accurate measurement. Therefore, we propose a frequency analysis method using the complex LMS algorithm. In this method, oscillation elements included in observation signals is converged every analysis frequency. Since time to converge depends on the constant value called the step size parameter, even in case of few obtained signals noises are removed and the accuracy seems to improve. In this study, the utility of the method is experimentally verified.