基于卡尔曼预测器的纸张水分和定量预测控制

Basis Weight and Moisture Prediction Control System Based on Kalman Prediction Filter

针对造纸生产线上纸张定量水分控制系统存在的大惯性、大时滞及强耦合问题,提出了一种控制方法。使用静态解耦的办法使得系统分解成为水分和定量两个独立的控制回路,将卡尔曼预测器引入控制回路,利用卡尔曼预测器进行水分、定量值及其控制输出量的最优预测估计,用以抑制大惯性、大时滞环节对生产过程造成的影响。生产实践及仿真对比结果表明控制效果良好。

Considering the problem of long time delay, great inertia and close coupling of basis weight and moisture control system in papermaking process, a new controller is introduced. The control system is separated into independent basis weight and moisture control circuits, by using static decoupling technology and combining with Kalman prediction filter and PID （PI） controller to make optimal estimation of basis weight and moisture of paper in order to get rid of retarded action of long time delay and great inertia link. The better control effect is obtained.