• 过程系统工程 •

### 不确定条件下的湿法炼锌除铜过程机会约束优化控制

1. 中南大学自动化学院，湖南 长沙 410083
• 收稿日期:2019-12-09 修回日期:2019-12-17 出版日期:2020-03-05 发布日期:2019-12-24
• 通讯作者: 周晓君 E-mail:michael.x.zhou@csu.edu.cn
• 基金资助:
国家自然科学基金项目(61873285);湖南省自然科学基金项目(2018JJ3683);中南大学中央高校基本科研业务费专项资金(2019zzts575);中南大学创新驱动计划项目(2018CX012)

### Chance constrained optimization for copper removal process under uncertainty in zinc hydrometallurgy

Xiangyue WANG,Xiaojun ZHOU(),Chunhua YANG

1. School of Automation, Central South University, Changsha 410083, Hunan, China
• Received:2019-12-09 Revised:2019-12-17 Online:2020-03-05 Published:2019-12-24
• Contact: Xiaojun ZHOU E-mail:michael.x.zhou@csu.edu.cn

Abstract:

Copper removal process(CRP) is an important step in hydrometallurgical zinc process. Due to the changeable production conditions, diverse mineral resources and complex mechanisms, there exist uncertainties in the process of copper removal, which affect the stability and reliability of production. In this paper, the chance constrained optimization for the copper removal process under uncertainty is studied, considering the uncertainty of the inlet flow rate, the returned underflow rate and the inlet copper ions concentration. Firstly, the uncertainties of the copper removal process are analyzed, and the distribution characteristics of the uncertain parameters are analyzed by using statistical methods. The idea of chance constraint is introduced, and the problem of the copper removal process under uncertain conditions is formulated as a chance constrained optimization problem. Then the chance constrained optimization problem is transformed into a nonlinear programming problem by the back-mapping approach(BMA). Finally, sequential quadratic programming is used to solve the resulting problem. Monte Carlo simulation verify the effectiveness of the proposed method and demonstrate that the robustness of the system is significantly improved.

• TP 273
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