卡尔曼滤波在半自磨机中的应用

The Application of Kalman Filter to a Semiautogenous Grinding Mill

本文论述了用卡尔曼滤波方法对半自磨机中不可量测的参数的估计。文中给出了描述半自磨机工作过程的数学模型和卡尔曼滤波递推算法,并对渐近预报估计器进行了仿真,编写了BASIC滤波程序,结果表明该程序是正确的和可应用的。

This paper describes the estimation of unmeasured parameters for semiautogenous grinding (SAG) mill by Kalman Filter. The mathematical model simulating the working process of the SAG mill and the recursive algorithm of Kalman Filter are developed. An asymptotic prediction estimator is simulated. Results show that the Kalman filter program is feasible in practice.