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Blast furnace temperature optimization control method

A technology for optimal control, blast furnace, applied in the field of information

Inactive Publication Date: 2009-06-17
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a blast furnace temperature optimization control method for the deficiency of temperature control determined by manual experience

Method used

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Experimental program
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Embodiment Construction

[0060] Such as figure 1 , the specific application steps of the blast furnace temperature optimization control method are as follows:

[0061] (1) Collect the parameters of the coal injection volume, blast volume and cooling water flow rate of the blast furnace temperature control operation, measure the uncertainty with the Euclidean space, and establish the allowable control set Ω:

[0062] Ω={ΔA i (k)∈R n×n , h(k)∈R, i=0, 1, 2|∥ΔA i (k)‖<∞,0

[0063] The establishment of the allowable control set is to ensure that there is a solution when calculating the optimal control rate in step (8).

[0064] (2) Taking the coal injection rate, air blast rate and cooling water flow rate as the control input, and the temperature observed by the cross thermometer as the output value, within the range of the allowable control set Ω, establish a discrete difference method based on the least squares method. Determine the Controlled Autoregressive Moving Average Model (CARMA):

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Abstract

The invention relates to an optimization control method of blast furnace temperature. The temperature control of the existing blast furnace ironmaking enterprises is determined by experience, thus the temperature control is inaccurate. In the optimization control method, time lag and uncertainty of actual parameters are considered; the blast furnace temperature is predicted by establishing a predication model of a steplike dynamic matrix predictive control algorithm, and then links such as rolling optimization, feedback compensation and the like are performed, thus ensuring to obtain an optimum and stable use amount of the three factors, that is, coal injection amount, blast volume and cooling water flow rate. The method comprises the specific steps as follows: establishing an admissible control set and the predication model, and performing model conversion, the feedback compensation and the rolling optimization to obtain an optimum control rate. The time lag and the uncertainty of the actual parameters as well as correction model error are considered in the method, thus ensuring to generate the optimum coal injection amount, the blast volume and the cooling water flow rate.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to a blast furnace temperature optimization control method capable of modeling the blast furnace temperature control system and automatically generating dosage formulas for coal injection volume, blast volume, and cooling water flow rate, which can be used for Blast furnace ironmaking industry. Background technique [0002] With the further development of modern blast furnace temperature control technology, blast furnace ironmaking enterprises have higher and higher requirements for pig iron quality. Whether the quality of molten iron meets the requirements depends on the prediction and control of the furnace temperature. Too high or too low furnace temperature is not conducive to the normal production of the blast furnace. Factors affecting blast furnace temperature include: coal injection volume, blast volume, and cooling water flow. If these three dosage formulas are unstab...

Claims

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Application Information

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IPC IPC(8): C21B5/00G05B13/04
Inventor 鲁仁全薛安克陈巧
Owner HANGZHOU DIANZI UNIV
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