基于扩展卡尔曼滤波的气力输送动态称重系统

Dynamic Weighing System of Pneumatic Conveying Based on Extended Kalman Filter Algorithm

为了提高粉料在气力输送过程中动态称重的精度,提出了一种基于扩展卡尔曼滤波算法的动态称重方法。通过设置多个称重传感器,对采集的数据进行融合并滤波处理,以消除干扰噪声对系统测量的影响。同时采用减重计量法,将数据处理结果通过智能控制器实时调节卸料控制阀的开关度,以提高动态称重的精度。实验结果表明:称重30 kg二氧化硅粉末,平均误差在0.3%以下。

To improve the dynamic weighing accuracy of powder in pneumatic conveying process,there was a dynamic weighing method based on extended Kalman filter algorithm be proposed,which set up multiple weighing sensors to fuse and filter the collected data,so as to eliminate the influence of interference noise on the system measurement.At the same time,the weight reduction measurement method was used to adjust the switching degree of the unloading control valve through the intelligent controller to improve the accuracy of dynamic weighing.The experimental results show that the average error of weighing 30kg silica powder is less than 0.3%.