On-line prediction model for concentrations of zinc ion and sulfuric acid inzinc electrowinning process

doi:10.11949/j.issn.0438-1157.20141569

CIESC Journal ›› 2015, Vol. 66 ›› Issue (7): 2588-2594.DOI: 10.11949/j.issn.0438-1157.20141569

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On-line prediction model for concentrations of zinc ion and sulfuric acid inzinc electrowinning process

DENG Shijun, YANG Chunhua, LI Yonggang, ZHU Hongqiu

School of Information Science and Engineering, Central South University, Changsha 410083, Hunan, China

Received:2014-10-17 Revised:2015-03-24 Online:2015-07-05 Published:2015-07-05
Supported by:
supported by the National Science Fund for Distinguished Young Scholars of China(61025015), the National Key Technology Research and Development Program of the Ministry of Science and Technology of China (2012BAF03B05), the National Natural Science Foundation of China (61174133, 61273185) and the Fundamental Research Funds for the Central Universities of Central South University (502200771)

锌电解全流程酸锌离子浓度在线预测模型

邓仕钧, 阳春华, 李勇刚, 朱红求

中南大学信息科学与工程学院, 湖南长沙 410083

通讯作者: 李勇刚
基金资助:
国家杰出青年基金项目(61025015);国家科技支撑计划项目(2012BAF03B05);国家自然科学基金项目(61174133,61273185);中南大学中央高校基本科研业务费专项资金项目(502200771)。

Abstract

Abstract:

The concentrations of zinc ion and sulfuric acid in electrolytic solution are detected by off-line analysis with large time-delay, which will be detrimental to the on-line optimal control for zinc electrowinning process (ZEWP). It is very significant to predict the concentrations of zinc ion and sulfuric acid on line. The electrochemical reaction mechanism for ZEWP is analyzed, and a dynamic model for ZEWP is established based on the material balance and electrochemical equations. Based on the data collected from the practical ZEWP, the working conditions of the ZEWP are classified using FCM algorithm. The parameters of the dynamic model under different classes are identified, and the concentrations of zinc ion and sulfuric acid in ZEWP are predicted using the multi-condition fuzzy matching approach. The results obtained from the practical data show that the model can effectively predict the variation tendency of the concentrations of zinc ion and sulfuric acid, which is profitable to the optimal control for ZEWP.

Key words: zinc electrowinning, concentrations of zinc ion and sulfuric acid, classification of the working condition, parameter identification

摘要：

针对电解液中酸锌离子浓度离线化验存在大滞后,难以实现锌电解过程在线优化控制的问题,研究了锌电解全流程酸锌离子浓度在线预测模型。在分析锌电解过程电化学反应机理的基础上,结合锌电解过程物料平衡,建立了锌电解动态反应模型。基于锌电解工业现场数据,采用FCM算法对锌电解工况进行分类,并辨识了不同工况条件下预测模型的参数,利用多工况模糊匹配实现了全流程酸锌离子的预测。工业数据验证结果表明所建模型能有效地反映酸锌离子浓度的变化趋势,为锌电解过程的优化控制奠定了基础。

关键词: 锌电解, 酸锌离子浓度, 工况分类, 参数辨识

CLC Number:

TP11

DENG Shijun, YANG Chunhua, LI Yonggang, ZHU Hongqiu. On-line prediction model for concentrations of zinc ion and sulfuric acid inzinc electrowinning process[J]. CIESC Journal, 2015, 66(7): 2588-2594.

邓仕钧, 阳春华, 李勇刚, 朱红求. 锌电解全流程酸锌离子浓度在线预测模型[J]. 化工学报, 2015, 66(7): 2588-2594.

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On-line prediction model for concentrations of zinc ion and sulfuric acid inzinc electrowinning process

锌电解全流程酸锌离子浓度在线预测模型

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