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Electrode elevation control method and system of submerged arc furnace based on neural network decoupling

A technology of electrode lifting and neural network, applied in general control system, control/regulation system, control using feedback, etc., can solve problems such as increased power consumption, unstable electrode control, random interference of coupling effect, etc.

Inactive Publication Date: 2018-08-24
CENT SOUTH UNIV
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The electrode lifting control method and system of submerged arc furnace based on neural network decoupling provided by the present invention solves the problem of unstable electrode control and unstable product quality due to serious coupling and random interference in the production process of submerged arc furnace and technical issues with increased power consumption

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  • Electrode elevation control method and system of submerged arc furnace based on neural network decoupling
  • Electrode elevation control method and system of submerged arc furnace based on neural network decoupling
  • Electrode elevation control method and system of submerged arc furnace based on neural network decoupling

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Embodiment 1

[0062] refer to figure 1 The first embodiment of the present invention provides a decoupling-based neural network electrode lifting control method for submerged arc furnaces, including:

[0063] Step S101, establishing an electrode current-position decoupling model of the submerged arc furnace;

[0064] Step S102, identifying the generalized external disturbance term in the electrode current-position decoupling model based on the RBF neural network algorithm;

[0065] Step S103, based on the electrode current-position decoupling model of the submerged arc furnace, the generalized external disturbance term and the tracking error, deduce the lifting displacement of the electrode, and the tracking error is the deviation between the real-time value of the electrode current and the set value of the electrode current;

[0066] Step S104, controlling the lifting and lowering of the electrode of the submerged arc furnace based on the lifting and lowering displacement of the electrode...

Embodiment 2

[0072] refer to figure 2 The second embodiment of the present invention provides a decoupling-based neural network electrode lifting control method for submerged arc furnaces, including

[0073] Step S201, establishing an electrode current-position decoupling model of the submerged arc furnace.

[0074] Specifically, the establishment of the electrode current-position decoupling model of the submerged arc furnace in the embodiment of the present invention includes:

[0075] Based on the electrode displacement and electrode current variation, the electrode current-position model of the submerged arc furnace is established as:

[0076] △I(k+1)=Φ(k)△h(k) (1)

[0077] Where △I(k+1)=I(k+1)-I(k) is the electrode current variation, △h(k)=h(k)-h(k-1) is the electrode displacement, I(k ) = [I 1 (k),I 2 (k),I 3 (k)] T is the three-phase electrode current, h(k)=[h 1 (k), h 2 (k), h 3 (k)] T is the three-phase electrode position, is the current displacement response coefficien...

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Abstract

The invention discloses an electrode elevation control method and system of a submerged arc furnace based on neural network decoupling. According to the method, an electrode current-position decoupling model of the submerged arc furnace is established, a generalized external interference item is identified from the electrode current-position decoupling model on the basis of an RBF neural network algorithm, an electrode elevation displacement amount is derived from the electrode current-position decoupling model of the submerged arc furnace, the generalized external interference item and a tracking error, the tracking error represents a deviation of the real-time electrode current value from an electrode current set value, and electrode elevation of the submerged arc furnace is controlled on the basis of the electrode elevation displacement amount. The technical problems that a severe coupling effect and random interference in the production process of the submerged arc furnace causes instability of electrode control, and further quality instability of product and increase of power consumption are solved, accurate three-phase electrode elevation displacement amount obtained by decoupling of the system can be obtained, the smelting efficiency is improved, and energy saving, consumption reduction and cost reduction are achieved.

Description

technical field [0001] The invention relates to a decoupling-based neural network-based electrode lifting control method and system for submerged arc furnaces, which are suitable for the production process of submerged arc furnaces with various capacities and various smelting varieties that use three-phase electrode heating to realize smelting. Background technique [0002] The submerged arc furnace is a major equipment for smelting ferroalloys by the "electrothermal method". The electric power is introduced into the mixed raw materials in the furnace through three-phase electrodes, so that the furnace materials are heated and melted, and a redox reaction is generated to form ferroalloys. In order to ensure that the furnace materials in the three reaction crucible zones in the submerged arc furnace undergo chemical reactions simultaneously, to achieve high yield and low consumption, it is required to control the temperature distribution in the furnace evenly during the smelti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/02G05B13/04G05D3/12
CPCG05B13/029G05B13/042G05D3/12
Inventor 贺建军朱琦党伟然陈东阳景满德于景定
Owner CENT SOUTH UNIV
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