A model-free adaptive control system and method for blast furnace multi-element molten iron quality

Abstract

The invention provides a model-free self-adaptive control system and a method for the blast furnace multi-element molten iron quality. According to the invention, the method comprises the steps of setting a blast furnace multi-element molten iron quality index expected value; acquiring blast furnace body production working condition parameter variables at a plurality of historical moments requiredby the parameter correction of a model-free self-adaptive controller and multi-element molten iron quality index measured values obtained at corresponding moments, and carrying out off-line correction on sensitive model-free self-adaptive controller parameters and pseudo-partial derivative initial values; controlling molten iron quality indexes in the online manner by means of the model-free self-adaptive controller to track the preset blast furnace multi-element molten iron quality index expected value. According to the invention, a blast furnace multi-element molten iron quality online recursion controller is built by combining the model-free self-adaptive control technology. After that, a recursive sub-space prediction model between the mass of the blast furnace multi-element molten iron and two control quantities is established to serve as a parameter correction auxiliary model. Moreover, the multi-parameter sensitivity analysis and the genetic algorithm are adopted to correct controller parameters and pseudo-partial derivative initial values in the offline manner. As a result, obtained data can be adapted to the current dynamic characteristics of a blast furnace, so that thequality of the multi-element molten iron can be effectively controlled.

Description

technical field [0001] The invention belongs to the technical field of automatic control of blast furnace smelting, and in particular relates to a model-free adaptive control system and method for multi-element molten iron quality of a blast furnace. Background technique [0002] The ultimate purpose of blast furnace ironmaking is mainly to produce high-quality pig iron, which provides qualified primary products for downstream processes such as converter steelmaking. Therefore, the optimal control of blast furnace ironmaking usually also means the control of the quality of molten iron, the final product of the blast furnace. At present, the quality index of molten iron is usually measured by Si content, molten iron temperature, S content and P content. Among them, Si content and molten iron temperature are important parameters to characterize the chemical heat and physical heat of the blast furnace, respectively. The silicon content of molten iron has been the main indicat...

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Problems solved by technology

However, the blast furnace smelting system is an uncertain dynamic time-varying system. Changes in ore grade and working conditions will lead to changes in the model parameters. Therefore, the offline model cannot fully reflect the dynamics of the blast furnace at different times. The controller is only suitable for specific parameters of blast furnace conditions, unable to meet the control requirements of the entire production process, the actual application value is low

In addition, the data model based on the existing control method has a large calculation complexity and a long calculation time, which is not suitable for online control and is difficult to apply to real industrial sites

To sum up, there is currently no multivariate dynamic on-line control method for hot metal quality indicators Si content and hot metal temperature in the blast furnace smelting process at home and abroad.

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