Research in optimization method of technological parameters of CO2 refining system

The instability of the concentration of CO2 in the system of CO2 refining is controlled by the following means: recognizing the system by neural net work; building the prediction model and the technological parameters optimization model of the system; predicting the key producing parameters which affect the concentration of CO2 the most; optimizing and controlling the key producing parameters by the PID control method and finally controlling the affect the concentration of CO2. These means overcame the defects of uncertainty of the key parameters and the average concentration of CO2 in 24 hours is controlled to 99.83%, which is 6.66% higher than that by regular PID control (93.17%). This neural network combined control method increased the stability of the system and complies with the standard of the national producing CO2 concentration.