一种适用于污水处理的Kalman滤波器

A Kind of Kalman Filter for Sewage Treatment

在城市污水处理系统中,为更好地预测污水管的流量以方便管理部门投放药物,设计了一种Kalman滤波器,可在噪声统计信息未收集完备的情形下,进行预测和控制,用系统辨识的方法估计出噪声统计信息,然后用噪声统计信息的估值代入Kalman滤波器中进行滤波运算,通过Matlab仿真对算法进行说明。仿真结果表明,该滤波器具有良好的一致性。

In the city sewage treatment system,in order to better predict the sewage pipe flow to facilitate the management of drug delivery,a kind of Kalman filter is presented,which can predict and control sewage pipe flow even when the noise statisticsis in not completely collected.The estimated noise statistics is obtained by the method of system identification,and then the filtering operation valuation is obtained by substituting the noise statistics into the Kalman filter.Matlab simulation is used to show this algorithm,the simulation results could explain the good consistency of this filter.