Analysis of Quantitative Water Decomposition Coupling Control in Papermaking Process Based on DRNN
This paper expounds the control technology of quantitative moisture in the papermaking process,establishes a mathematical model of quantitative moisture content using Matlab,decouples the quantitative moisture coupling model using conventional PID algorithm and DRNN neural network algorithm,and explores the use of neural networks to adjust PID controller parameters.Decoupling control can be achieved without relying on the mathematical model of the control object.The simulation results show that the DRNN neural network algorithm has a faster response speed and significantly enhanced adaptive ability,which can further improve the dynamic performance of the system.
NETL
NSTL
万方数据
维普
