CONTINUOUS SYSTEM SIMULATION AND NEURAL NETWORK MODELING

Abstract: The proposed work consists of mathematical and Artificial Neural Network Modeling and simulation of Dryer subsystem of Paper making process. The dynamics of the Dryer for paper making process has been studied and a transfer function from the state space model is obtained using MATLAB software. Introduction about the Continuous system simulation along with the advantages of using Artificial Neural Network are included. A SIMULINK model of the dryer of paper making process has been developed considering the effects of input steam flow and pressure. Analysis of the Statistical model and neural network has been carried out to find mean, median, standard deviation and covariance. It is observed that both the model and neural network output have almost similar statistics. So, it concluded that the trained Neural Network model can be used in place of the dynamic model for complex system dynamics if some data are not available.

Keywords: paper machine , Dryer, Neural Network