Optimal Control Of Coke Oven Heating Combustion System

Coke oven heating and combustion system is the core of the whole coke oven coking process,which has the characteristics of non-linearity,large lag and large inertia.The stability of coke oven temperature in the production process directly affects the quality of coke and the life of the furnace body.Establishing accurate heating model and optimizing the control of coke oven heating and combustion process are important means to improve coke quality and reduce energy consumption of coke oven.Starting from the coke oven heating and combustion process,the main factor affecting the coke oven temperature is gas flow rate.Based on the field production data,the coke oven heating temperature model is identified by least squares support vector machine algorithm.Considering the fluctuation of gas main pipe pressure and vertical flue temperature in the field production process,a predictive controller based on Least Square Support Vector Machine is designed.In order to improve the thermal efficiency of coke oven,the air-gas double closed-loop ratio control based on the calorific value of gas is proposed,and the ratio control is combined with the temperature control of coke oven.The system is simulated with MATLAB.The simulation results show that the predictive controller based on temperature model has better control effect than the traditional PID controller.It has the characteristics of small overshoot,fast response speed and strong anti-interference ability.Finally,the above control method is applied to Siemens PLC,and the whole configuration implementation process is introduced in detail.By comparing the field temperature curves before and after the operation of the system,it is found that the control scheme can stabilize the furnace temperature.