Mathematical Modeling of Closed-loop Intelligent Control for B.F Iron-making Process

The complexity of blast furnace iron-making process control can be interpreted from two aspects. From the aspect of technique, it is composed of status diagnosis of blast furnace, predictive control of silicon content and an organic combination of them. From the aspect of control theory, it is no longer the traditional direct feedback control, but intelligent control based on inference and optimization computation. Hence to better control blast furnace iron-making process, it is much necessary to explore new theory and techniques. The multi-level mathematical model structure discussed here includes mechanism model of hybrid dynamics, inferrencial model for status diagnosis, mathematical model of system optimization, predictive control equation of silicon content and an intelligent hierarchical integration of the 4 classes of models. With this kind of model structure, the closed-loop intelligent control of blast furnace iron-making process can be achieved.