在桥式起重机运行参数记录中,采用基于移动平均滤波的称重算法

A. N. Nazarov, S. D. Ivanov
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摘要

介绍。分析了起重机运行参数记录仪主要信息质量不高的问题。提高货物质量信息质量的公认方向是改进称重算法。介绍了串行生产参数记录仪算法的不足。提出了一种基于移动平均滤波器的算法设计。材料与方法。介绍了该称重算法的工作原理。该算法包括初步阶段(确定适合称重的动态过程段、计算平滑窗长度)和主要阶段(应用滤波器、计算质量和测量误差)。给出了确定平滑窗口长度的两种方法。给出了实验部分使用的桥式起重机、称重传感器和电机转速传感器的参数。结果。给出了测重时刻提升机构力和电机转速曲线图。给出了稳态运动控制函数的工作原理。给出了固定测量精度为3%且确定算法运行时间和固定算法运行时间为10秒且确定测量精度的算法运行结果。讨论。参数记录仪测量重量所需的精度为2…5秒。由于在每次升降机构开关时算法参数可调,从而提高了称重速度。对于连续起升时间超过10秒的起重机,该算法计算负载质量的精度为1%。这确保了起重机强度指标的准确性,精度为3%。结论。对准确性和时间参数的评价表明,所开发的称重算法在确定载荷质量任务中对起重机运行参数记录仪的适用性。该算法的优点是保证了称重的精度。重量测量算法可以使参数记录仪适应起重机作业的工艺过程,有效地利用了动态过程中适合测量的区域。
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Use of weight measurement algorithm on the basis of moving average filter in the recorder of overhead crane operation parameters
Introduction . The problem of primary information low quality of crane operation parameters recorders is analyzed. The accepted direction to improve the quality of information about the mass of the cargo is to improve the algorithm of weight measurement. Shortcomings of algorithms of serially produced parameter recorders are described. The design of the algorithm based on the moving average filter is proposed. Materials and Methods . The principle of operation of the proposed weight measurement algorithm is described. The algorithm consists of preliminary (determination of the dynamic process section suitable for weight measurement, calculation of the smoothing window length) and main stages (application of filter, calculation of mass and measurement error). Two methods for determining the length of the smoothing window are given. The parameters of the overhead crane, load cell and motor speed sensor used in the experimental part are given. Results . Graphs of lifting mechanism force and motor rotation speed at the moment of weight measurement are given. The work of the steady-state motion control function is shown. The results of algorithm operation at fixed measurement accuracy of 3% with determination of algorithm operation time and fixed algorithm operation time of 10 seconds with determination of measurement accuracy are given. Discussion . The time of weight measurement with the accuracy required for parameter recorders was 2...5 seconds. Increase in speed of weight measurement is achieved due to adjustable parameters of the algorithm at each switching on of the lifting mechanism. For cranes with duration of lifting time continuously more than 10 seconds the algorithm allows to calculate the mass of the load with an accuracy of 1%. This ensures the accuracy of the crane intensity indicators with an accuracy of 3%. Conclusion . Evaluation of accuracy and time parameters showed the applicability of the developed algorithm of weight measurement in the task of determining the mass of the load to recorders of crane operation parameters. The advantage of the developed algorithm is the guaranteed accuracy of weight measurement. The algorithm of weight measurement allows to adapt the parameter recorder to the technological process of crane operation and effectively use the areas of the dynamic process suitable for measurement.
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