On the Fast and High Accurate Mass Measurement under the Conditions of Floor Vibration. On the Method of Compensating the Difference in Dynamics without On-line Identification.
On the Fast and High Accurate Mass Measurement under the Conditions of Floor Vibration. On the Method of Compensating the Difference in Dynamics without On-line Identification.
复制标题
地板振动条件下快速高精度质量测量的研究
DOI：
10.2493/jjspe.64.1029
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发表时间：
1998
影响因子：
--
通讯作者：
T. Kohashi
中科院分区：
文献类型：
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作者：
Jianxin Sun;Y. Fujioka;T. Ono;Takeyoshi Nagao;T. Kohashi
本文研究了楼板振动条件下快速、高精度的质量测量问题。考虑了一种特殊类型的称重机，它由称重称重传感器和虚拟称重传感器组成，以消除地板振动的不良影响。由于称重机通常是在地板振动分量处于低频范围的情况下使用，在这种情况下，使用传统的低通滤波器难以快速测量质量值。两种称重传感器在动态上存在差异，这种差异使得测量不确定度变差。在前面的文章中，将相对动态补偿的概念应用于即使在存在称重传感器之间的动态差异的情况下也能减小测量不确定性的问题。然而，本文的质量测量算法需要在线识别，以获得动力学差异的信息。用在线辨识法确定一个合适的补偿滤波器的参数需要40 ms。然而，有些质量测量系统需要更快的质量测量算法。为此，本文提出了一种比在线辨识算法更快的质量测量新算法。通过仿真和实验验证了该算法的有效性。
This paper concerns the problem of the fast and high accurate mass measurement under the conditions of floor vibration. A specific type of weighing machine, which consists of a weighing loadcell and the dummy loadcell to cancel the undesirable influence from floor vibration, is considered. Since the weighing machine is usually used under the condition that the components of floor vibration are located in low frequency range, it is difficult to measure mass value rapidly by using conventional low-pass filters in this case. The two loadcells have the difference in dynamics, and the difference makes the measuring uncertainty worse. In the earlier paper, the concept of the relative dynamic compensation is applied to the problem of reducing the measuring uncertainty even in the case where the difference in dynamics between loadcells exists. The mass measuring algorithm in the paper, however, needs on-line identification in order to get the information of the difference in dynamics. It takes 40 ms to determine the parameters of a suitable compensating filter with on-line identification. However, there are mass measuring systems that require a faster mass measuring algorithm. Therefore, a new mass measuring algorithm, which is faster than the algorithm with on-line identification, is described in this paper. The effectiveness of the algorithm is certified both by simulation and by experiment.