Research On Temperature Decoupling Control Of Fractionating Column

In China’s petroleum,chemical and other industrial production,the rectification tower has always been one of the most important equipment.More than 30%of the energy consumption of the entire petroleum plant comes from the rectification tower,and temperature is the main indirect parameter to achieve product quality control.Not only is the mechanism of the rectification tower complex,the variables are interrelated,but also the temperature control inertia is large.The traditional rectification tower temperature control method has low control accuracy,so it is of great significance to study a better rectification tower temperature control method.In this paper,the structure composition and fractionation principle of distillation column are described in detail,and the production process flow of distillation column,influencing factors of product quality and relevant model calculation are described and analyzedThis article introduces the structure and fractionation principle of the distillation column in detail,and analyzes the production process flow and temperature control system of the distillation.In view of the serious coupling relation between the temperature of the top of the rectifying tower and the temperature of the tower kettle,feed-forward compensation decoupling and neural network decoupling are used respectively in this paper.The decoupled two loops are independent of each other,and the PID controller based on the improved artificial bee colony algorithm is used for control.According to the current characteristics of the controlled object,the parameters of the PID controller are adjusted in real time to improve the stability and accuracy of the controlled temperature.The combination of PID controller based on improved artificial bee colony algorithm and neural network decoupling constitutes GABC-PID-neural network decoupling control,which not only solves the problem of serious coupling of controlled objects and poor control effect when only PID control is used.In addition,it solves the problem that the original controller parameters cannot adapt well to the changed object when the conventional PID is disturbed by various disturbances when the decoupling algorithm is used only.Finally,the conventional uncoupling,feedforward compensation decoupling and GABC-PID-neural network decoupling control schemes are used to simulate the temperature control system of the distillation column.Compared with the simulation results,GABC-PID-neural network decoupling control has better control effect in terms of temperature maximum deviation range and adjustment time index.Through to the rectification tower top temperature and bottom temperature of decoupling control,effectively reduced the tower top temperature and bottom temperature dynamic process and the maximum deviation of amplitude adjustment time,implements the tower distillate(top)and bottom products(" edge "of the residual liquid)control,to solve the actual production in the process of the problem of large energy consumption of the product purity control is not accurate and has a certain theoretical significance.