Title
Dynamic Optimization for Copper Removal Process With Continuous Production Constraints
Abstract
The copper removal process (CRP) aims to reduce the copper ion concentration in zinc sulphate solution to a specific range by zinc addition. The satisfaction of production constraints and minimization of zinc consumption are vital but difficult to achieve. In this article, the dynamic optimization for CRP is conducted for optimal zinc control trajectory design considering constraints at least cost. First, a dynamic optimization problem with both state and control constraints is constructed for CRP. Then, a constrained dynamic optimization method is proposed, where a wavelet-based control parameterization method and a smooth penalty method are adopted. Specially, a hybrid optimization strategy is proposed to achieve a robust and efficient optimization performance. Numerical experiments are provided to illustrate the effectiveness of the proposed method. Results show that the proposed method can produce not only the optimal control trajectory with a qualified outlet ion concentration but also the less zinc consumption.
Year
DOI
Venue
2020
10.1109/TII.2019.2943500
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
Copper,Optimization,Inductors,Ions,Zinc,Trajectory,Production
Journal
16
Issue
ISSN
Citations 
12
1551-3203
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Xiaojun Zhou18616.24
Miao Huang200.34
Tingwen Huang35684310.24
Chunhua Yang443571.63
Weihua Gui557790.82