A gradient optimization scheme for solution purification process
Research output: Contribution to journal › Article › Scientific › peer-review
Standard
A gradient optimization scheme for solution purification process. / Sun, Bei; Gui, Weihua; Wang, Yalin; Yang, Chunhua; He, Mingfang.
In: Control Engineering Practice, Vol. 44, 01.11.2015, p. 89-103.Research output: Contribution to journal › Article › Scientific › peer-review
Harvard
APA
Vancouver
Author
Bibtex - Download
}
RIS - Download
TY - JOUR
T1 - A gradient optimization scheme for solution purification process
AU - Sun, Bei
AU - Gui, Weihua
AU - Wang, Yalin
AU - Yang, Chunhua
AU - He, Mingfang
PY - 2015/11/1
Y1 - 2015/11/1
N2 - This paper presents a two-layer control scheme to address the difficulties in the modeling and control of solution purification process. Two concepts are extracted from the characteristics of solution purification process: additive utilization efficiency (AUE) and impurity removal ratio (IRR). The idea of gradient optimization of solution purification process, which transforms the economical optimization problem of solution purification process into finding an optimal decline gradient of the impurity ion concentration along the reactors, is proposed. A robust adaptive controller is designed to track the optimized impurity ion concentration in the presence of process uncertainties, disturbance and saturation. Oxidation reduction potential (ORP), which is a significant parameter of solution purification process, is also used in the scheme. The ability of the gradient optimization scheme is illustrated with a simulated case study of a cobalt removal process.
AB - This paper presents a two-layer control scheme to address the difficulties in the modeling and control of solution purification process. Two concepts are extracted from the characteristics of solution purification process: additive utilization efficiency (AUE) and impurity removal ratio (IRR). The idea of gradient optimization of solution purification process, which transforms the economical optimization problem of solution purification process into finding an optimal decline gradient of the impurity ion concentration along the reactors, is proposed. A robust adaptive controller is designed to track the optimized impurity ion concentration in the presence of process uncertainties, disturbance and saturation. Oxidation reduction potential (ORP), which is a significant parameter of solution purification process, is also used in the scheme. The ability of the gradient optimization scheme is illustrated with a simulated case study of a cobalt removal process.
KW - Additive utilization efficiency
KW - Gradient optimization
KW - Impurity removal ratio
KW - Oxidation reduction potential
KW - Robust adaptive control
KW - Solution purification
UR - http://www.scopus.com/inward/record.url?scp=84939203933&partnerID=8YFLogxK
U2 - 10.1016/j.conengprac.2015.07.008
DO - 10.1016/j.conengprac.2015.07.008
M3 - Article
VL - 44
SP - 89
EP - 103
JO - Control Engineering Practice
JF - Control Engineering Practice
SN - 0967-0661
ER -
ID: 11758119
