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Liquid level on-line control system and method for self-adapting and fuzzy logic PID crystallizer

A fuzzy logic and control system technology, applied in the direction of adaptive control, liquid level control, general control system, etc., can solve the problems of PID control overshoot, stabilization time, and control error that cannot meet the real-time control requirements of the system, so as to solve the liquid The effect of bit fluctuation problem, high precision of PID control and flexible applicability

Active Publication Date: 2009-02-11
SHANGHAI BAOSIGHT SOFTWARE CO LTD
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Problems solved by technology

[0015] The object of the present invention is to provide an adaptive and fuzzy logic PID crystallizer liquid level on-line control system and method to solve the problem that the traditional PID control cannot satisfy the real-time control of the system in terms of dynamic response overshoot, stabilization time and control error. Asked technical questions

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  • Liquid level on-line control system and method for self-adapting and fuzzy logic PID crystallizer

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Experimental program
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Effect test

Embodiment 1

[0052] Such as figure 1 As shown, an adaptive and fuzzy logic PID crystallizer liquid level online control system, including:

[0053] The difference calculation module receives the input crystallizer liquid level set value and the actual value measured by the liquid level measurement module, and calculates the deviation e between the two values;

[0054] The online parameter adjustment module receives e according to different steel grades, different slab specifications, and different pouring parameters, such as pouring steel grades, pouring slab sections, crystallizer sizes, etc., and online adjusts the parameters that should be used by the PID controller Parameter K p (PID proportional coefficient), T n (PID integral coefficient) and T v (PID differential coefficient) and output;

[0055] The fuzzy logic module is connected with the online parameter adjustment module, receives e, judges nozzle wear, slagging and slagging off according to e, and receives input parameters ...

Embodiment 2

[0070] An adaptive and fuzzy logic PID crystallizer liquid level online control method, using the system described in Embodiment 1, includes the following steps:

[0071] Calculation step, receiving the input crystallizer liquid level setting value and the actual value measured by the liquid level measurement module, and calculating the deviation e of the two values;

[0072] Online parameter adjustment step, receiving e, online adjustment of the parameter K that should be used in the PID control step p , T n and T v and output;

[0073] The fuzzy logic step, receiving e, judging nozzle wear, slagging and slagging off according to e, receiving the pull speed adjustment input parameter, receiving the K inputted by the online parameter adjustment module p , T n and T v , the output adjusted K p , T n and T v ;

[0074] PID control step, receiving e, the K outputted by the fuzzy logic step p , T n and T v , to perform PID control and output PID control signal;

[007...

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Abstract

The invention relates to a self-adapting fussy-logic PID crystallizer liquor-level on-line control system and a control method. The system comprises a calculation module for receiving an input crystallizer liquid-level preset value and an actual value measured by a liquid-level measurement module and calculating the difference (e) of the two values; an on-line parameter regulation module; a fuzzy logic module which is connected with the on-line parameter regulation module, receives the difference (e), determines the conditions of abnormal fluctuation, nozzle wearing, slagging and slag sloughing according to the difference (e), receives Kp, Tn and Tv input from the on-line parameter regulation module and outputs the regulated Kp, Tn and Tv to a PID controller; a PID controller; a P controller; a hydraulic mechanical device; and a liquid-level measurement module. The control system and the control method can improve the system control accuracy and control the system stability under the complex casting conditions, organically integrate the fuzzy control and the PID techniques, enhance the strong point and avoid the weaknesses, combine the advantages of both flexibility and strong applicability of the fuzzy control and high control accuracy of the PID, and effectively solve the problem of liquid-level fluctuation of the crystallizer during the production.

Description

technical field [0001] The invention belongs to the technical field of crystallizer liquid level control, in particular to a fuzzy logic PID crystallizer liquid level online control system and method. Background technique [0002] Traditional mold level proportional, integral, derivative (PID) control is suitable for a stable pouring process. The mold level control process, like other smelting processes, will also be affected by uncertain factors. The interference factors mainly include: [0003] (1) Uneven pulling speed: [0004] Due to changes in various site conditions, such as equipment failure or defects, this will cause uneven pulling speed. The crystallizer level is affected by this, which can bias the control performance. [0005] (2) Irregular flow of the outlet channel of the tundish: [0006] During pouring, slag and other deposits are deposited in the stopper rod, in the channel between the sliding nozzle of the tundish and on the inner wall of the submerged n...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D9/12G05B13/02G05B11/42B22D11/10B22D35/00
Inventor 陈在根钱卫东金云徐永军
Owner SHANGHAI BAOSIGHT SOFTWARE CO LTD
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