Fuzzy control method for temperature distribution of inner steel bloom of heating stove

Abstract

The invention relates to a method for the fuzzy control of the temperature distribution of steel billet in a heating furnace. The method utilizes a compensation control component fuzzy reasoning module and a compensation control weighted integration component module to form a diffusion reasoning fuzzy controller of the temperature of the steel billet; the temperature deviation distribution between the temperature distribution of the steel billet and the perfect heating curve of the steel billet is used as input information of the fuzzy controller; for each adjusting point of the furnace temperature, one set of two-dimensional fuzzy controllers of the compensation control component fuzzy reasoning module is utilized to generate a set of furnace temperature compensation control components; and the compensation control weighted integration component module is utilized to integrate the set of the furnace temperature compensation control components so as to obtain the compensation dosage of the furnace temperature of each part. Through the dispersive fuzzy reasoning structure, the method solves the difficult problems that the prior fuzzy dynamic compensation control technology is difficult to effectively process high dimensional input information, can fully consider the temperature deviation distribution and the changing trend of the steel billet after the adjusting point of the furnace temperature in the process of adjusting the furnace temperature and better ensure the steel billet to be heated completes heating according to the perfect heating curve.

Description

technical field [0001] The invention relates to the control technology of the metallurgical automation process, in particular to a method for fuzzy control of the temperature distribution of steel slabs in a steel rolling heating furnace. Background technique [0002] The basic task of the steel rolling heating furnace (abbreviated as the heating furnace in the present invention) is to heat the steel slab according to a predetermined heating curve, so as to transport qualified steel slabs for the rolling unit. Determining the appropriate control strategy and obtaining the best index in a certain sense under the premise of satisfying the process constraints are the fundamental tasks of the optimal control of the heating furnace. The main problems that need to be solved to realize the optimal control of the heating furnace include three aspects: ①The temperature distribution forecast of the steel billet; ②The steady-state optimal setting of the furnace temperature distribution...

AI Technical Summary

Problems solved by technology

One of the disadvantages of the existing furnace temperature dynamic compensation control methods including "Online Fuzzy Decision-Making of Heating Furnace Temperature Based on Mechanism Model" is that in the process of dynamic compensation control, the control point of the smoke temperature adjustment in this section is not considered. Due to the influence of the temperature distribution of the billet, it is difficult to effectively ensure that the billet to be heated completes the heating process according to the ideal heating curve

Because when the input dimension of the controller is greater than 3, it will become very difficult or even impossible to establish fuzzy control rules by summarizing the fuzzy information that the operator knows about the controlled object and summarizing the operating experience.

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