Design of Chemical Reaction Control System and Optimization of Process Parameters Based on Regression Model Analysis

Abstract

In this paper, a complete automatic control system is designed for a set of chemical production system. According to the relevant theories of experimental design and regression analysis, orthogonal experiments are designed for the proportion of raw materials and the amount of catalyst in the chemical production system. The regression analysis model is established by using the experimental data, and MATLAB programming is used to seek the regression model parameters and the optimal chemical reaction process parameters. The experimental verification of the optimal process parameters shows that the errors between the predicted value and the verified value are 0.0816% and 0.75445% respectively. This regression model fully meets the actual needs of production. Matlab software, regression analysis mathematical model and orthogonal experiment have important guiding significance for practical production.