包装过程称量信号处理方法研究

目的 为提高包装过程定量称量精度，结合卡尔曼滤波算法和模糊控制原理设计一种称量信号处理方法。方法 定量称量控制系统一般由触摸屏、控制器、称量传感器、变频器等电气设备组成。以传感器信号处理为主要研究对象，提出一种改进卡尔曼滤波算法。采用卡尔曼滤波器实现称量信号中随机噪声的处理。利用模糊控制器来实时监测卡尔曼滤波每次更新后实际方差和理论方差的差值。最后，进行实验研究。结果 实验结果表明，改进卡尔曼滤波的实际性能比较理想，滤波处理前，称量误差最大可以达到2.5%；经滤波处理后，最大称量误差只有0.26%。结论 所述信号处理方法可以有效地降低称量信号噪声，提高称量精度。

Processing Method of Weighing Signal in Packaging Process

This paper aims to improve the quantitative weighing accuracy of packaging process, and design a weighing signal processing method by combining kalman filtering algorithm and fuzzy control principle. Quantitative weighing control system is generally composed of touch screen, controller, weighing sensor, inverter and other electrical equipment. Taking sensor signal processing as the main research object, an improved kalman filtering algorithm is proposed. Kalman filter is used to deal with random noise in weighing signal. A fuzzy controller is used to monitor the difference between the actual variance and the theoretical variance after each update of kalman filter. Finally, an experimental study is carried out. The experimental results show that the actual performance of the improved Kalman filter is relatively ideal, and the maximum weighing error can reach 2.5% before filtering. After filtering, the maximum weighing error is only 0.26%. The signal processing method can effectively reduce the weighing signal noise and improve the weighing accuracy.