Liquid medium aluminum melting furnace model prediction control method based on data driving

A model predictive control, liquid medium technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as disturbance suppression, and achieve the effect of preventing jumping, strong anti-interference ability, and high model accuracy

Pending Publication Date: 2021-06-22
CENT SOUTH UNIV
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Problems solved by technology

[0005] The present invention provides a data-driven model predictive control method for liquid medium aluminum melting furnaces, which can solv

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  • Liquid medium aluminum melting furnace model prediction control method based on data driving
  • Liquid medium aluminum melting furnace model prediction control method based on data driving
  • Liquid medium aluminum melting furnace model prediction control method based on data driving

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[0035] In order to facilitate the understanding of the invention, the present invention will be more comprehensive and detailed, but the scope of the invention is not limited to the following specific embodiments.

[0036] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be embodied in various ways of claims defined and covered.

[0037] From figure 1 The flowchart of the prediction control method based on the data-driven liquid medium melt aluminum furnace model and image 3 A data-driven liquid medium melt aluminum furnace model predictive control system block diagram According to a liquid medium, a liquid medium, a liquid medium, a liquid medium, based on a model prediction control technology, including the following steps:

[0038] Step one control variable selection

[0039] The position of the liquid medium melt aluminum furnace A, B, and the C three phase electrode, the three...

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Abstract

The invention discloses a liquid medium aluminum melting furnace model prediction control method based on data driving, and belongs to the field of industrial process control, and the method comprises the following steps: collecting and storing data such as current and voltage signals of a three-phase electrode on site; selecting a controller according to the deviation between the actual value and the set value of the electrode current, selecting a prediction controller when the deviation is larger and lasts for 10 seconds, and selecting a PI controller when the deviation is smaller; when the prediction controller is used, establishing an LSSVM (least square support vector machine) prediction model; optimizing key parameters in the LSSVM by using a POS; and designing a model prediction control algorithm according to the obtained prediction model. Compared with a traditional PID control system, the method is more accurate, the model identification accuracy is high, a good control effect is achieved, and engineering requirements can be met.

Description

technical field [0001] The invention relates to the field of industrial process control, in particular to a data-driven liquid medium aluminum melting furnace model predictive control method and system. Background technique [0002] The aluminum melting furnace is the first key equipment in the aluminum processing and manufacturing process, and it is very important in the aluminum processing industry. However, resource shortage, energy crisis and national energy conservation and emission reduction and other macro policy orientations have made the problem of energy saving and consumption reduction of aluminum melting furnaces increasingly prominent. Therefore, how to improve the comprehensive automation level of the aluminum melting furnace production system, improve product output and quality, and reduce power consumption is of great significance. [0003] However, at present, the control of the liquid medium aluminum melting furnace mainly relies on the operator to operate...

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 刘雨汀贺建军周力
Owner CENT SOUTH UNIV
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