基于新型卡尔曼滤波算法的称重系统实现研究

针对信号采集中存在脉冲干扰和高斯白噪声引起的误差问题,提出了基于新型卡尔曼滤波算法的称重系统实现方案,给出了该称重系统的组成。该算法对信号进行阈值和防脉冲干扰滤波,在防脉冲干扰滤波过程中不断优化阈值滤波中的对比值,消除了干扰幅度较大的非周期脉冲信号;将信号送入下一级滤波器进行时间更新、测量更新,消除了高斯白噪声干扰。一系列试验表明,测量范围内系统灵敏度约为0.15 mV/kg;最大差值为0.1 kg,准确度达到99.7%;经过新型卡尔曼滤波后误差均处于0.4%以下,相比使用传统的卡尔曼滤波算法,系统精度提高到4.5倍。

Research on Implementation of Weighing System Based on Novel Kalman Filter Algorithm

In view of the error caused by pulse interference and Gaussian white noise in signal acquisition,a weighing system based on the new Kalman filter algorithm is proposed,and the composition of the weighing system is given.In the process of anti-jamming filtering,the algorithm optimizes the contrast value of threshold filtering and eliminates the non periodic pulse signal with large interference amplitude. The signal is sent to the next filter for time update and measurement update to eliminate the interference of Gaussian white noise. A series of experiments show that the sensitivity of the system is about 0.15 mV/kg,the maximum difference is 0.1 kg,and the accuracy is 99.7%. After the new Kalman filter,the error is below 0.4%,and the accuracy of the system is increased to 4.5 times.