Design Of Physical Model Control System On The Converter Experimental Platform And Modeling For The Process Of Steelmaking

The subject is the sub-platform of steelmaking-refining-casting process control system integration and process comprehensive optimization experiments research platform in "985 Project", which mainly completed the design and implementation of controlling system of the converter steelmaking experimental platform. The experiment platform can truly simulate the actual steelmaking production process and the steelmaking production controlling process in laboratory environment so as to lay the foundation of the industrial production process optimization control and scheduling control research.Main research contents are as follows:(1) The movement control of the converter physical simulation part is realized. Control of the oxygen lance lifting, furnace cover and furnace door opening and closing and chartered operation are completed and the automatic operation of the converter experiment platform is realized. Connecting the PLC control system with WinCC monitoring interface communication and the visual monitoring and control of the whole process of steel-making is achieved.(2) The control system of the converter angle servo physical simulation is designed and realized. For angle control of converter in the experimental platform, designing the closed loop control system that the absolute value encoder is as a sensor, and using a successive approximation algorithm to guarantee the tilting furnace quickly and smoothly.(3) The dynamic model of the converter steelmaking process is established. Based on the metallurgical reaction engineering theory and the idea of using the molten pool in unit time of dissolved oxygen and heat balance, it establishes the dynamic model of the converter smelting process that expresses the composition and the temperature of the liquid steel changing over time. Converter end point prediction model that is based on BP neural network is established,and by means of stochastic field data input, the accuracy of model is verified.This topic implements the part of converter steel-making experiment platform of automation, and the precision angle control of converter is within plus or minus 180 ° and the error range is plus or minus 0.8°.Through random data validation, the converter end forecasting accuracy is as follows, the probability of the endpoint carbon content within the absolute error range of plus or minus 0.025% is 84.85%, the probability of the temperature in absolute error within plus or minus 20℃ is 78.79%.