Control of Temperature and Aluminum Fluoride Concentration Based on Model Prediction in Aluminum Electrolysis
Control of Temperature and Aluminum Fluoride Concentration Based on Model Prediction in Aluminum Electrolysis
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基于模型预测的铝电解温度和氟化铝浓度控制
DOI：
10.1155/2014/181905
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发表时间：
2014-05
影响因子：
--
通讯作者：
Qu Yaxing
中科院分区：
文献类型：
--
作者：
Zeng Shuiping;Wang Shasha;Qu Yaxing
铝电解过程中，温度和电解液中氟化铝（AlF 3）浓度对电流效率和能耗有很大影响。提出了一种通过改变槽电压和AlF 3添加速率来控制300 kA预焙铝电解槽电解液温度和AlF 3浓度的新算法。一个是液相线模型，它可以通过一些工艺参数和目标温度来计算电解液中AlF 3的浓度;另一个是温度模型，它可以通过工艺参数和目标温度来确定所需的槽电压。因此，AlF 3的添加速度可以由AlF 3浓度决定。通过测量生产过程中电解液的温度和AlF 3浓度，将测量值与相应计算值的差值作为反馈，对模型进行修正。模型中的系数也根据外部条件进行了修正。该系统已在某铝业公司使用2年。电解液的温度和AlF 3浓度均可按要求控制，大大降低了铝生产的能耗。
The temperature and the aluminum fluoride (AlF3) concentration of electrolyte greatly affect the current efficiency and energy consumption in aluminum electrolysis. This paper developed a new kind of algorithm to control the temperature and AlF3 concentration of electrolyte for 300 kA prebake aluminum production cells by altering the setting cell voltage and the AlF3 adding rate. One is liquidus model which can be used to calculate AlF3 concentration of electrolyte by some technical parameters and target superheat and the other is the temperature models which can determine the required cell voltage by the technical parameters and target temperature. Consequently, the AlF3 addition rate can be decided by the AlF3 concentration. The temperature and AlF3 concentration of electrolyte in the production are measured and the differences between the measurement and the corresponding calculation are used as feedback to correct the model. The coefficients in the model are also revised according to the external conditions. This system has been used in an aluminum company for 2 years. Both the temperature and the AlF3 concentration of electrolyte can be controlled as required and the energy consumption of the aluminum production was much decreased.
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DOI：
10.1017/cbo9781139207249.009
发表时间：
2012
期刊：
--
影响因子：
--
作者：
W. Marsden
通讯作者：
W. Marsden
基于BP神经网络的氧化铝还原诊断系统
DOI：
10.4304/jcp.7.4.929-933
发表时间：
2012-01
期刊：
Journal of Computers
影响因子：
--
作者：
曾水平;崔琳
通讯作者：
崔琳
DOI：
10.1016/s1003-6326(08)60340-4
发表时间：
2009-06
影响因子：
4.5
作者：
Yongda Huang;Xiangyu Qu;Jie-min Zhou
通讯作者：
Yongda Huang;Xiangyu Qu;Jie-min Zhou
DOI：
--
发表时间：
2006
期刊：
--
影响因子：
--
作者：
Chen Xiang-tao;Li Jie;Zhang Wengen;Zou Zhong;Ding Feng-qi;Liu Yexiang;Liu Qingyu
通讯作者：
Chen Xiang-tao;Li Jie;Zhang Wengen;Zou Zhong;Ding Feng-qi;Liu Yexiang;Liu Qingyu
DOI：
10.1109/wcica.2008.4594446
发表时间：
2008-06
期刊：
2008 7th World Congress on Intelligent Control and Automation
影响因子：
--
作者：
Zeng Shuiping;Liu Jinhong
通讯作者：
Zeng Shuiping;Liu Jinhong