Kobysh O. Automation of control process by hot blast stove group on the basis of fuzzy logic

The dissertation is devoted to solving the scientific task of increasing the efficiency of the process of stabilizing the temperature of the blast in the conditions of low calorific value of the blast furnace gas by developing a method for control processes of heating the nozzle of each blast stove of the group and heating the blast based on the evaluation of the duration of the current period of operation of the blast stoves with the achievement of the given alternating mode of blast stove operation using a decision-making tree based on identifier fuzzy knowledge bases, which allows to reduce the flow of blast furnace gas. On the basis of thedata analysis and the results of simulation formed a fuzzy knowledge base on the process of heating the blast in the blast stoves. Based on the fuzzy model, a subsystem for assessing the durability of the blast heating period as part of the control system for the operation of the heater system has been developed. The structural and parametric identification of fuzzy knowledge bases at various values of the given temperature of the blast furnace for various forms of the functions of input and output parameters is performed.The control system of the blast stoves group operating on the basis of the subsystem of the heating control of the nozzle and the subsystem of estimation of the duration of operating modes. Using the methods of multicriteria optimization, the correction of the behavior of the control system, taking into account the current operating conditions of the blast stoves group, was implemented. An algorithm for determining the current situation and selecting a control scenario based on the decision tree is developed.