A gradient optimization scheme for solution purification process

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A gradient optimization scheme for solution purification process. / Sun, Bei; Gui, Weihua; Wang, Yalin; Yang, Chunhua; He, Mingfang.

julkaisussa: Control Engineering Practice, Vuosikerta 44, 01.11.2015, s. 89-103.

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Sun, Bei ; Gui, Weihua ; Wang, Yalin ; Yang, Chunhua ; He, Mingfang. / A gradient optimization scheme for solution purification process. Julkaisussa: Control Engineering Practice. 2015 ; Vuosikerta 44. Sivut 89-103.

Bibtex - Lataa

@article{1a30802fb944437a9f24d3e19d46dc78,
title = "A gradient optimization scheme for solution purification process",
abstract = "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.",
keywords = "Additive utilization efficiency, Gradient optimization, Impurity removal ratio, Oxidation reduction potential, Robust adaptive control, Solution purification",
author = "Bei Sun and Weihua Gui and Yalin Wang and Chunhua Yang and Mingfang He",
year = "2015",
month = "11",
day = "1",
doi = "10.1016/j.conengprac.2015.07.008",
language = "English",
volume = "44",
pages = "89--103",
journal = "Control Engineering Practice",
issn = "0967-0661",
publisher = "Elsevier Limited",

}

RIS - Lataa

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