Research On Control Strategy Of Regenerative Reheating Furnace Combustion System

As an important thermal equipment,regenerative heating furnaces are widely used in the field of metallurgy.The furnace is subject to more random disturbances during the working process,and the furnace temperature has the characteristics of nonlinearity,large lag,and large inertia.The quality control effect of the furnace temperature will directly affect the quality of the final product,energy consumption and the life of the forging equipment.As the requirements of steel performance in various industries in China continue to increase,it is difficult for traditional PID furnace temperature control systems to produce higher quality steel.Therefore,improving the control performance of the heating furnace is of great significance to the development of the steel industry.This subject is based on the 2# regenerative forging heating furnace of a steel mill forging workshop.In view of the problems of large furnace overshoot,large fluctuation,and difficulty in controlling the air-fuel ratio,the current furnace is based on the problem.Heating furnace control scheme based on intelligent control theory.Firstly,based on the relationship between the combustion mechanism of the furnace and the relationship between the air-fuel ratio and the air excess coefficient,and by analyzing the furnace temperature characteristics of the furnace,the furnace temperature-combustion cascade control scheme is determined.Starting from the process of regenerative forging furnace,the combustion control strategy is studied.By comparing and analyzing the three kinds of combustion control,such as double closed loop ratio control,single cross limiter control and double cross limiter control,the double cross limiting combustion control is determined as The best combustion control strategy.Secondly,the heating furnace is often affected by the fluctuation of gas pressure and the change of gas heat value and the frequent feeding and feeding factors.It is pointed out that it is difficult to achieve high-precision control requirements by conventional PID,so the fuzzy intelligent control is introduced to the main The controller is improved,a fuzzy PID control scheme is proposed,and the fuzzy PID controller is designed according to the working condition of the heating furnace.The heating furnace control system is simulated in Matlab.The main controller adopts fuzzy PID algorithm and PID algorithm respectively.The simulation results of these two controllers are compared and analyzed,and the superiority of fuzzy PID algorithm is determined.Finally,the industrial implementation scheme of theregenerative heating furnace control system based on S7-300 PLC is given.The configuration interface including main flow interface,parameter setting interface and historical curve interface is designed and implemented by modular programming.The fuzzy PID algorithm.In this paper,the characteristics of the control system of regenerative forging furnace are analyzed comprehensively.The furnace temperature-combustion cascade control system is designed.The combustion control mode of double cross limiting is determined,and the main controller of the cascade control system is established.The improvement was carried out,and the superiority of fuzzy PID was verified by simulation and comparison.The specific steps of industrial realization were introduced.It not only provides reference value for academic research,but also has certain value in engineering application.