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Model-Free Adaptive Control of Hydrometallurgy Cascade Gold Leaching Process with Input Constraints
[Image: see text] Hydrometallurgy technology can directly deal with low grade and complex materials, improve the comprehensive utilization rate of resources, and effectively adapt to the demand of low carbon and cleaner production. A series of cascade continuous stirred tank reactors are usually app...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947990/ https://www.ncbi.nlm.nih.gov/pubmed/36844568 http://dx.doi.org/10.1021/acsomega.2c06830 |
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author | Dong, Shijian Zhang, Yuzhu Zhou, Xingxing Niu, Dapeng Wang, Xuesong |
author_facet | Dong, Shijian Zhang, Yuzhu Zhou, Xingxing Niu, Dapeng Wang, Xuesong |
author_sort | Dong, Shijian |
collection | PubMed |
description | [Image: see text] Hydrometallurgy technology can directly deal with low grade and complex materials, improve the comprehensive utilization rate of resources, and effectively adapt to the demand of low carbon and cleaner production. A series of cascade continuous stirred tank reactors are usually applied in the gold leaching industrial process. The equations of leaching process mechanism model are mainly composed of gold conservation, cyanide ion conservation, and kinetic reaction rate equations. The derivation of the theoretical model involves many unknown parameters and some ideal assumptions, which leads to difficulty and imprecision in establishing the accurate mechanism model of the leaching process. Imprecise mechanism models limit the application of model-based control algorithms in the leaching process. Due to the constraints and limitations of the input variables in the cascade leaching process, a novel model-free adaptive control algorithm based on compact form dynamic linearization with integration (ICFDL-MFAC) control factor is first constructed. The constraints between input variables is realized by setting the initial value of the input to the pseudo-gradient and the weight of the integral coefficient. The proposed pure data-driven ICFDL-MFAC algorithm has anti-integral saturation ability and can achieve faster control rate and higher control precision. This control strategy can effectively improve the utilization efficiency of sodium cyanide and reduce environmental pollution. The consistent stability of the proposed control algorithm is also analyzed and proved. Compared with the existing model-free control algorithms, the merit and practicability of the control algorithm are verified by the practical leaching industrial process test. The proposed model-free control strategy has advantages of strong adaptive ability, robustness, and practicability. The MFAC algorithm can also be easily applied to control the multi-input multi-output of other industrial processes. |
format | Online Article Text |
id | pubmed-9947990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99479902023-02-24 Model-Free Adaptive Control of Hydrometallurgy Cascade Gold Leaching Process with Input Constraints Dong, Shijian Zhang, Yuzhu Zhou, Xingxing Niu, Dapeng Wang, Xuesong ACS Omega [Image: see text] Hydrometallurgy technology can directly deal with low grade and complex materials, improve the comprehensive utilization rate of resources, and effectively adapt to the demand of low carbon and cleaner production. A series of cascade continuous stirred tank reactors are usually applied in the gold leaching industrial process. The equations of leaching process mechanism model are mainly composed of gold conservation, cyanide ion conservation, and kinetic reaction rate equations. The derivation of the theoretical model involves many unknown parameters and some ideal assumptions, which leads to difficulty and imprecision in establishing the accurate mechanism model of the leaching process. Imprecise mechanism models limit the application of model-based control algorithms in the leaching process. Due to the constraints and limitations of the input variables in the cascade leaching process, a novel model-free adaptive control algorithm based on compact form dynamic linearization with integration (ICFDL-MFAC) control factor is first constructed. The constraints between input variables is realized by setting the initial value of the input to the pseudo-gradient and the weight of the integral coefficient. The proposed pure data-driven ICFDL-MFAC algorithm has anti-integral saturation ability and can achieve faster control rate and higher control precision. This control strategy can effectively improve the utilization efficiency of sodium cyanide and reduce environmental pollution. The consistent stability of the proposed control algorithm is also analyzed and proved. Compared with the existing model-free control algorithms, the merit and practicability of the control algorithm are verified by the practical leaching industrial process test. The proposed model-free control strategy has advantages of strong adaptive ability, robustness, and practicability. The MFAC algorithm can also be easily applied to control the multi-input multi-output of other industrial processes. American Chemical Society 2023-02-10 /pmc/articles/PMC9947990/ /pubmed/36844568 http://dx.doi.org/10.1021/acsomega.2c06830 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Dong, Shijian Zhang, Yuzhu Zhou, Xingxing Niu, Dapeng Wang, Xuesong Model-Free Adaptive Control of Hydrometallurgy Cascade Gold Leaching Process with Input Constraints |
title | Model-Free Adaptive
Control of Hydrometallurgy Cascade
Gold Leaching Process with Input Constraints |
title_full | Model-Free Adaptive
Control of Hydrometallurgy Cascade
Gold Leaching Process with Input Constraints |
title_fullStr | Model-Free Adaptive
Control of Hydrometallurgy Cascade
Gold Leaching Process with Input Constraints |
title_full_unstemmed | Model-Free Adaptive
Control of Hydrometallurgy Cascade
Gold Leaching Process with Input Constraints |
title_short | Model-Free Adaptive
Control of Hydrometallurgy Cascade
Gold Leaching Process with Input Constraints |
title_sort | model-free adaptive
control of hydrometallurgy cascade
gold leaching process with input constraints |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947990/ https://www.ncbi.nlm.nih.gov/pubmed/36844568 http://dx.doi.org/10.1021/acsomega.2c06830 |
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