Abstract
Dynamic operation optimization has been utilized to realize optimal control problem for converter. The optimal control indicator is determined via current state of converter smelting production process, and the set values of operation variable would control converter production. Relationship between various operating variables, current temperature, and carbon content is constructed through operation analysis of a great deal of actual production data; then, the dynamic optimal control indicator is derived from historical excellent smelting data; finally, the dynamic operation optimization model is built by taking the minimum deviation between the current data—molten steel temperature and carbon content—and optimal data which are determined by the optimal control indicator as objective function. DE (differential evolution) with improved strategy is used to solve the proposed model for obtaining the set values of each operating variable, which is beneficial for further control. Simulation of actual production data shows the feasibility and efficiency of the proposed method. That proved that the proposed method solves the optimal control problem of converter steelmaking process as well.
Highlights
The optimal control of converter steelmaking plays an important role in ensuring the steel quality.The optimal control problem is considered in a dynamic system or a movement process
Based on the requirements for the smelting production process constraints, an optimization model is built to minimize the deviation between the actual data and the reference data, which is composed by dynamic value
Though dynamic temperature and carbon content models have some difficulties in the accuracy for whole furnaces, the model only depends on data instead of time
Summary
The optimal control of converter steelmaking plays an important role in ensuring the steel quality. In order to solve this optimal control problem, the dynamic operation optimization method is introduced in BOF steelmaking process control. To solve the above optimal control problem, an operation optimization method in BOF steelmaking process is proposed. In this method, the time and weight of adding limestone, dolomite, and other auxiliary materials, the amount of blowing oxygen, bottom blowing gas at each moment, and the control mode of oxygen lance are regarded as control variables. Based on the requirements for the smelting production process constraints, an optimization model is built to minimize the deviation between the actual data (oven temperature and carbon content of the molten steel) and the reference data, which is composed by dynamic value.
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