Modeling, Optimization, and Control of Solution Purification Process in Zinc Hydrometallurgy

Bei Sun; Chunhua Yang; Hongqiu Zhu; Yonggang Li; Weihua Gui

doi:10.1109/JAS.2017.7510844

Volume 5 Issue 2

Mar. 2018

IEEE/CAA Journal of Automatica Sinica

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Bei Sun, Chunhua Yang, Hongqiu Zhu, Yonggang Li and Weihua Gui, "Modeling, Optimization, and Control of Solution Purification Process in Zinc Hydrometallurgy," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 564-576, Mar. 2018. doi: 10.1109/JAS.2017.7510844

Citation:

Bei Sun, Chunhua Yang, Hongqiu Zhu, Yonggang Li and Weihua Gui, "Modeling, Optimization, and Control of Solution Purification Process in Zinc Hydrometallurgy," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 564-576, Mar. 2018. doi: 10.1109/JAS.2017.7510844

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Modeling, Optimization, and Control of Solution Purification Process in Zinc Hydrometallurgy

doi: 10.1109/JAS.2017.7510844

Bei Sun^1
,,
Chunhua Yang^{1
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Hongqiu Zhu^1
,,
Yonggang Li^1
,,
Weihua Gui^1
,

School of Information Science and Engineering, Central South University, Changsha 410083, China

Funds:

the National Natural Science Foundation of China 61603418

the National Natural Science Foundation of China 61673400

the National Natural Science Foundation of China 61273185

the Foundation for Innovative Research Groups of the National Natural Science Foundation of China 61621062

the Innovation-driven Plan in Central South University 2015cx007

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Author Bio:
Bei Sun (M'17) received the Ph.D. degree in control science and engineering from Central South University, China in 2015, and was with the Department of Electrical and Computer Engineering, Polytechnic School of Engineering, New York University, USA from 2012 to 2014. He is currently a Lecturer of Central South University. His research interests include data-driven modeling, optimization and control of nonferrous metallurgical processes (e-mail: sunbei@csu.edu.cn)

Chunhua Yang (M'09) received the M.Eng. degree in automatic control engineering and the Ph.D. degree in control science and engineering from Central South University, China in 1988 and 2002, respectively, and was with the Electrical Engineering Department, Katholieke Universiteit Leuven, Belgium from 1999 to 2001. She is a Full Professor of the School of Information Science and Engineering, Central South University. Her research interests include modeling and optimal control of complex industrial processes, and online measurement methods in nonferrous metallurgical processes(e-mail: ychh@csu.edu.cn)

Hongqiu Zhu received the Ph.D. degree in control science and engineering from Central South University, China in 2010, and was with the Department of Mathematics and Statistics, Curtin University, Australia from 2013 to 2014. He is an Associate Professor of the School of Information Science and Engineering, Central South University. His research interests include intelligent information processing and modeling of complex industrial processes(e-mail: hqcsu@mail.csu.edu.cn)

Yonggang Li received the Ph.D. degree in control science and engineering from Central South University, China in 2004, and was with the Department of Mathematics and Statistics, Curtin University, Australia from 2011 to 2012. He is a Full Professor of the School of Information Science and Engineering, Central South University. His research interests include intelligent modeling and optimization of complex industrial processes(e-mail: liyonggang@csu.edu.cn)

Weihua Gui (M'09) received the B.Eng. degree in electrical engineering and the M.Eng. degree in automatic control engineering from Central South University, Changsha, China, in 1976 and 1981, respectively. He was a Visiting Scholar with the Universität GH Duisburg, Duisburg, Germany, from 1986 to 1988. He has been a Full Professor with Central South University since 1991. He is an Academician of the Chinese Academy of Engineering. His research interests include modeling and optimal control of complex industrial process, distributed robust control, and fault diagnoses(e-mail: gwh@csu.edu.cn)
Corresponding author: Chunhua Yang, e-mail: ychh@csu.edu.cn
Received Date: 2016-11-06
Accepted Date: 2017-04-01

Abstract

Abstract

The solution purification process is an essential step in zinc hydrometallurgy. The performance of solution purification directly affects the normal functioning and economical benefits of zinc hydrometallurgy. This paper summarizes the authors' recent work on the modeling, optimization, and control of solution purification process. The online measurable property of the oxidation reduction potential (ORP) and the multiple reactors, multiple running statuses characteristic of the solution purification process are extensively utilized in this research. The absence of reliable online equipment for detecting the impurity ion concentration is circumvented by introducing the oxidation-reduction potential into the kinetic model. A steady-state multiple reactors gradient optimization, unsteady-state operational-pattern adjustment strategy, and a process evaluation strategy based on the oxidation-reduction potential are proposed. The effectiveness of the proposed research is demonstrated by its industrial experiment.
- Nonferrous metallurgy,
- oxidation reduction potential (ORP),
- process control,
- solution purification,
- zinc hydrometallurgy

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References(27)

References

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Modeling, Optimization, and Control of Solution Purification Process in Zinc Hydrometallurgy

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