Fuzzy predictive control system of cryolite ratio for prebake aluminum production cells
Fuzzy predictive control system of cryolite ratio for prebake aluminum production cells
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DOI：
10.1109/wcica.2008.4594446
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发表时间：
2008-06
期刊：
影响因子：
--
通讯作者：
Zeng Shuiping;Liu Jinhong
中科院分区：
文献类型：
--
作者：
Zeng Shuiping;Liu Jinhong
本文将模糊逻辑与预测模型相结合，设计了预焙铝电解槽冰晶石配比的模糊预测控制系统。它包括采样、参数预处理、数据库和模糊逻辑判断、预测模型和反馈校正等。该系统通过每天调整氟化铝的加入量来确定冰晶石比。该系统首先利用温度和历史冰晶石比值得到模糊逻辑决策，然后通过反馈进行修正。该控制系统已在西部某铝厂运行4个月，保持了槽比稳定，电流效率达93.3%，阳极和直流电耗达13300 kWHr/t铝。
In this paper, we designed a fuzzy predictive control system (FPCS) of cryolite ratio for prebake aluminum production cells with the combination of fuzzy logical and predictive models. It includes the sampling, pretreatment of the parameters, the database and fuzzy logical determination, predictive models and correction of the results by feedback etc. The system determines the cryolite ratio by adjusting the aluminum fluoride addition every day. In the first, the system uses the temperature and the historical cryolite ratio to obtain the fuzzy logical decision, and then revises it by the feedback. The control system have been running four months in an aluminum plant West China, and keep the bath ratio stable, current efficiency up to 93.3%, anode and the DC energy consumption to 13300 kWHr per ton Al.