The Research Of Intelligent Control Method Of Bottom Blowing Argon In Steel-Making Process

Argon Bottom Blowing technology play an important role in the refining process , reasonable and perfect bottom blowing argon technology has an important significance to enhance the quality of steel. In recent years, research on argon blowing process most about technology, the control method has also made some achievements, however, there are some problems in the practical application.After familiar with refining process, analysis of steel-making process to identify the important parameters, and has been the optimization of the relationship between these parameters for the control of algorithm has laid a theoretical basis.In the Argon Bottom Blowing of steelmaking process control system, two kinds of intelligent control methods proposed. Adaptive neural network model identification and control method is provided for that Steelmaking process model and parameters are unknown. Neural network control method is theoretical and not suitable for practical application, so provided generalized polynomial model-based predictive control method. The two kinds of control methods were applied to the refining process control bottom blowing argon, the simulation verify the correctness of the algorithm.Designed a set of argon bottom blowing refining process control experimental device for steel refining technology, choose the hardware device, designed software experimental device monitoring system , generalized predictive control method was applied to experimental systems according to the actual situation, the experimental study verified the effectiveness of the algorithm.