Cross-Directional Basis Weight Measure and Control System Based on CARMA Model Predictive Function Control Algorithm

Abstract

According to the analysis of papermaking process, combined with the principle of cross-directional basis weight(BW) detecting and controlling, predictive function control based on CARMA(Controlled Auto Return Integral Moving Average Model) model is proposed to solve the problem of time delay, nonlinearity and uncertainty of the multi-dimension system. Simulations show that multivariable predictive functional control algorithm for fast tracking velocity, good dynamic performance, and it can effectively reduce the mutual coupling effects between variables. The method has the feasibility of applying to practical papermaking process.