Aluminum oxide concentration control method based on aluminum electrolytic cell

Abstract

The invention discloses an aluminum oxide concentration control method based on an aluminum electrolytic cell. The method comprises the following steps that a model is firstly built; then the electrolyte sampling density and sampling temperature are collected; digital filtering is carried out on the sampling density, density compensation is carried out based on the temperature after the weighted mean of the sampling density is calculated, and an equivalent density value is obtained; a control unit obtains an aluminum oxide concentration value according to a concentration / density relation curve; and finally the control unit controls a cell control machine to carry out feeding towards the electrolytic cell according to the aluminum oxide concentration. According to the novel aluminum oxide concentration monitor method, compared with the prior art, the material input quantity can be controlled precisely in real time, and the aim of precisely controlling the aluminum oxide concentration is achieved.

Description

technical field [0001] The invention relates to the field of self-adaptive control, in particular to a method for controlling the concentration of alumina based on an aluminum electrolytic cell. Background technique [0002] Electricity consumption is the largest energy consumption in the electrolytic aluminum production process. As the price of electricity becomes higher and higher, its proportion in the cost of aluminum is increasing. Therefore, reducing the power consumption of electrolytic aluminum is the key to reducing the power consumption of electrolytic aluminum in the country. It is also an effective way to reduce the cost of ingots and increase economic benefits, and it is also a key national research topic. [0003] The aluminum electrolysis process is accompanied by complex electrochemical reactions, complex material and energy conversion, extremely harsh production environment, unclear production process mechanism, and it is difficult to establish a mathematica...

AI Technical Summary

Problems solved by technology

The fuzzy reasoning control method is to collect the working state parameters of the electrolyzer and control the feeding. This method has large errors and is not suitable for precise control.

[0005] In addition, in the field of correlation density measurement, there are errors and noises in the measurement of existing density sensors; at the same time, the conventional practice of digital filtering is to calculate the average value, and there are large measurement errors in the measurement of real-time changing data

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