基于树莓派的三维物体质心多点称重测量系统设计

Nuryanti, Afaf Fadhil Rifa’i, Mochamad Rivaldo
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引用次数: 0

摘要

电动摩托车的机械结构非常简单,由电池、控制器和驱动电机组成。这些部件的位置影响质心,其中电机的所有重量集中在一个会合点或电机重量点。在将燃料马达转换为电动机时,确定质心位置的问题是必须解决的问题之一。为了解决这些问题,采用4个称重传感器的多点称重法组成了一个质量测量系统的中心,将测量平台置于被测物体的下方即可确定物体的质心,并通过4个称重传感器点的测量差来确定物体的质心位置。传感器读取数据通过串行通信从Arduino nano发送到树莓派,并使用Node-Red作为用户界面显示测量结果。采用多点称重法,成功实现了质心测量系统。以相同的间隔改变标称载荷进行质量测量的最佳位置是在平台的中心,误差率为0.00%,重复性值为0.002。用验证过的物体进行质心测试的结果表明,该测量仪器的误差水平低于10%的允许误差范围,测量质心的成功率为95.39%。对转换前后电机质心的测量结果,得出质心基于x坐标的偏差值为2.24 cm,基于y坐标的偏差值为2.34 cm,质心高度的偏差值为1.53 cm。转换后的电机质心位置仍在理想区域内。
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Design of Multipoint Weighing in Three-Dimensional Object Center of Mass Measurement System Based on Raspberry Pi
Electric motorcycles have a very simple machine construction consisting of a battery, controller and drive motor. The placement of these components affects the center of mass, where all the weight of the motor is centered in one meeting point or motor weight point. The problem of determining the position of the center of mass when converting a fuel motor to an electric motor is one of the things that must be resolved. To solve these problems, a center of a mass measurement system is made using the multipoint weighing method with four load cell sensors, the center of mass of an object can be determined by placing the measuring platform under the object to be measured and the position of the center of mass is obtained from the difference in mass measurements at the four load cell points. Sensor reading data is sent to Raspberry Pi from Arduino nano using serial communication and measurement results are displayed using Node-Red as a user interface. The Mass Center Measurement System was successfully implemented with the multipoint weighing method. The best position for mass measurement by varying the nominal load at the same interval is in the center of the platform with a percentage error rate of 0.00% and a repeatability value of 0.002. The results of testing the center of mass with validated objects obtained the percentage level of error of the measuring instrument below the permissible error limit of 10% and the percentage of success of measuring the center of mass of 95.39%. The measurement results of the motor center of mass before and after conversion obtained the deviation value of the center of mass based on the x coordinate of 2.24 cm, based on the y coordinate of 2.34 cm, and the height of the center of mass has a deviation of 1.53 cm. The position of the motor center of mass after conversion is still within the ideal area.
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