Multi-objective predictive control based on the cutting tobacco outlet moisture priority Article Swipe
Fan Zhi-ping
,
Zhengyun Ren
,
Angang Chen
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-022-26694-x
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-022-26694-x
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.
Related Topics
Concepts
Model predictive control
Computer science
Robustness (evolution)
Process (computing)
Control theory (sociology)
Mathematical optimization
Control variable
Control (management)
Trajectory
Mathematics
Artificial intelligence
Astronomy
Operating system
Biochemistry
Physics
Gene
Chemistry
Machine learning
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-022-26694-x
- https://www.nature.com/articles/s41598-022-26694-x.pdf
- OA Status
- gold
- Cited By
- 5
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313509456
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4313509456Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-022-26694-xDigital Object Identifier
- Title
-
Multi-objective predictive control based on the cutting tobacco outlet moisture priorityWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-05Full publication date if available
- Authors
-
Fan Zhi-ping, Zhengyun Ren, Angang ChenList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-022-26694-xPublisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-022-26694-x.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41598-022-26694-x.pdfDirect OA link when available
- Concepts
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Model predictive control, Computer science, Robustness (evolution), Process (computing), Control theory (sociology), Mathematical optimization, Control variable, Control (management), Trajectory, Mathematics, Artificial intelligence, Astronomy, Operating system, Biochemistry, Physics, Gene, Chemistry, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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39Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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