Control strategy for hydrometallurgical removal process based on modelling and evaluation

被引：8

作者：

Zhang, Bin ^{[1
]}

Yang, Chunhua ^{[1
]}

Gui, Weihua ^{[1
]}

机构：

[1] Cent S Univ, Sch Informat Sci & Engn, Changsha, Hunan, Peoples R China

来源：

IFAC PAPERSONLINE | 2016年 / 49卷 / 20期

基金：

中国国家自然科学基金;

关键词：

hydrometallurgical removal; process models; optimal control; process evaluation; fuzzy system; OPTIMAL-SETTING CONTROL; SOLUTION PURIFICATION; PREDICTIVE CONTROL; COBALT REMOVAL; COPPER REMOVAL; ZINC;

D O I：

10.1016/j.ifacol.2016.10.114

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

080201 [机械制造及其自动化];

摘要：

Impurity removal is an essential stage in non-ferrous metal hydrometallurgy. The control removal process influences the stability and production qualification of the whole process. To enhance the removal process stability, a control strategy based on modelling and evaluation is proposed in this paper. The strategy consists of two level controls: an optimal control based on process model and an expert control based process evaluation. The optimal control sets major amounts for control variables in the removal process, while the expert control adjusts the amounts with online evaluation results. The proposed strategy is performed on the copper removal process of zinc hydrometallurgy, and the experiment result proves its effectiveness. (C) 2016, IFAC (International Federation Control) Hosting By Elsevier Ltd. All rights reserverd.

引用

页码：161 / 166

页数：6

共 17 条

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An adaptive data-based modeling approach for predictive control of batch systems [J].