Multi-objective predictive control based on the cutting tobacco outlet moisture priority

In this paper, we propose a new priority multi-objective optimization strategy of system output variables in cutting tobacco process. The proposed strategy focuses on the cutting tobacco moisture-controlled output variables optimization in feasible regions with two levels according to the priority....

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Autores principales: Fan, Zhiping, Ren, Zhengyun, Chen, Angang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814934/
https://www.ncbi.nlm.nih.gov/pubmed/36604460
http://dx.doi.org/10.1038/s41598-022-26694-x
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author Fan, Zhiping
Ren, Zhengyun
Chen, Angang
author_facet Fan, Zhiping
Ren, Zhengyun
Chen, Angang
author_sort Fan, Zhiping
collection PubMed
description In this paper, we propose a new priority multi-objective optimization strategy of system output variables in cutting tobacco process. The proposed strategy focuses on the cutting tobacco moisture-controlled output variables optimization in feasible regions with two levels according to the priority. This study aims to provide a novel technical support for the chemical industry contained drying process. In order to alleviate the lack of degree of freedom of the system, strict set-point control is given, meanwhile, other output variables adopt zone control. Firstly, the system control output variables are optimized in ascending order of priority. Secondly, the specific lower-level target constraints are first relaxed. Finally, the relaxation of other high-priority target constraints is stopped when the optimization is feasible. Thus, the system control output variables move along the optimal target trajectory. From the perspective of practical application of engineering, under the condition of disturbance existing in the cutting tobacco drying process, the simulation shows that the proposed approach has good robustness when there is disturbance, and the previous method cannot meet the control requirement. The proposed strategy meanwhile has better tracking effect through single and multiple output variables simulation, which compared with traditional predictive control in real cutting tobacco drying process.
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spelling pubmed-98149342023-01-06 Multi-objective predictive control based on the cutting tobacco outlet moisture priority Fan, Zhiping Ren, Zhengyun Chen, Angang Sci Rep Article In this paper, we propose a new priority multi-objective optimization strategy of system output variables in cutting tobacco process. The proposed strategy focuses on the cutting tobacco moisture-controlled output variables optimization in feasible regions with two levels according to the priority. This study aims to provide a novel technical support for the chemical industry contained drying process. In order to alleviate the lack of degree of freedom of the system, strict set-point control is given, meanwhile, other output variables adopt zone control. Firstly, the system control output variables are optimized in ascending order of priority. Secondly, the specific lower-level target constraints are first relaxed. Finally, the relaxation of other high-priority target constraints is stopped when the optimization is feasible. Thus, the system control output variables move along the optimal target trajectory. From the perspective of practical application of engineering, under the condition of disturbance existing in the cutting tobacco drying process, the simulation shows that the proposed approach has good robustness when there is disturbance, and the previous method cannot meet the control requirement. The proposed strategy meanwhile has better tracking effect through single and multiple output variables simulation, which compared with traditional predictive control in real cutting tobacco drying process. Nature Publishing Group UK 2023-01-05 /pmc/articles/PMC9814934/ /pubmed/36604460 http://dx.doi.org/10.1038/s41598-022-26694-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Fan, Zhiping
Ren, Zhengyun
Chen, Angang
Multi-objective predictive control based on the cutting tobacco outlet moisture priority
title Multi-objective predictive control based on the cutting tobacco outlet moisture priority
title_full Multi-objective predictive control based on the cutting tobacco outlet moisture priority
title_fullStr Multi-objective predictive control based on the cutting tobacco outlet moisture priority
title_full_unstemmed Multi-objective predictive control based on the cutting tobacco outlet moisture priority
title_short Multi-objective predictive control based on the cutting tobacco outlet moisture priority
title_sort multi-objective predictive control based on the cutting tobacco outlet moisture priority
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814934/
https://www.ncbi.nlm.nih.gov/pubmed/36604460
http://dx.doi.org/10.1038/s41598-022-26694-x
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