Regulating control of in-pipe intelligent isolation plugging tool based on adaptive dynamic programming Article Swipe
Xingyuan Miao
,
Hong Zhao
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-810332/v1
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-810332/v1
In-pipe intelligent isolation plugging tools (IPTs) are crucial in pipeline maintenance. During the plugging process, the flow field around the IPT changes drastically, resulting in vibration and instability of the plugging process. Therefore, three foldable spoilers were designed at the tail of the IPT to reduce the vibration of the IPT. First, a disturbing flow experiment of IPT with spoilers was designed. A mathematical model of the pneumatic spoiler control system was established to regulate the spoiler angles. Second, based on the experimental data, a Bi-LSTM (bidirectional long short-term memory) neural network predictor between the plugging states, the spoiler angles, and the pressure gradient was established. Then, an adaptive dynamic programming controller was designed to select the optimal control action for each plugging state, thereby reducing the pressure gradient. Finally, Python and Matlab/Simulink were used for simulation. The results showed that the controller could reduce the pressure gradient during the plugging process by an average of 25.94%, which alleviated the vibration of the IPT and achieved a smooth plugging operation.
Related Topics
Concepts
MATLAB
Vibration
Engineering
Python (programming language)
Controller (irrigation)
Vibration isolation
Process (computing)
Artificial neural network
Pipeline (software)
Control engineering
Computer science
Control theory (sociology)
Mechanical engineering
Acoustics
Control (management)
Artificial intelligence
Operating system
Biology
Physics
Agronomy
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-810332/v1
- https://www.researchsquare.com/article/rs-810332/latest.pdf
- OA Status
- green
- Cited By
- 1
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3195327373
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3195327373Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-810332/v1Digital Object Identifier
- Title
-
Regulating control of in-pipe intelligent isolation plugging tool based on adaptive dynamic programmingWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-08-23Full publication date if available
- Authors
-
Xingyuan Miao, Hong ZhaoList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-810332/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-810332/latest.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.researchsquare.com/article/rs-810332/latest.pdfDirect OA link when available
- Concepts
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MATLAB, Vibration, Engineering, Python (programming language), Controller (irrigation), Vibration isolation, Process (computing), Artificial neural network, Pipeline (software), Control engineering, Computer science, Control theory (sociology), Mechanical engineering, Acoustics, Control (management), Artificial intelligence, Operating system, Biology, Physics, AgronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Python | 131 |
| abstract_inverted_index.action | 120 |
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| abstract_inverted_index.neural | 91 |
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| abstract_inverted_index.select | 116 |
| abstract_inverted_index.showed | 140 |
| abstract_inverted_index.smooth | 168 |
| abstract_inverted_index.state, | 124 |
| abstract_inverted_index.system | 71 |
| abstract_inverted_index.25.94%, | 157 |
| abstract_inverted_index.Bi-LSTM | 86 |
| abstract_inverted_index.In-pipe | 1 |
| abstract_inverted_index.Second, | 79 |
| abstract_inverted_index.angles, | 100 |
| abstract_inverted_index.angles. | 78 |
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| abstract_inverted_index.between | 94 |
| abstract_inverted_index.changes | 22 |
| abstract_inverted_index.control | 70, 119 |
| abstract_inverted_index.crucial | 8 |
| abstract_inverted_index.dynamic | 110 |
| abstract_inverted_index.memory) | 90 |
| abstract_inverted_index.network | 92 |
| abstract_inverted_index.optimal | 118 |
| abstract_inverted_index.process | 152 |
| abstract_inverted_index.results | 139 |
| abstract_inverted_index.spoiler | 69, 77, 99 |
| abstract_inverted_index.states, | 97 |
| abstract_inverted_index.thereby | 125 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Finally, | 130 |
| abstract_inverted_index.achieved | 166 |
| abstract_inverted_index.adaptive | 109 |
| abstract_inverted_index.designed | 38, 114 |
| abstract_inverted_index.foldable | 35 |
| abstract_inverted_index.gradient | 104, 148 |
| abstract_inverted_index.pipeline | 10 |
| abstract_inverted_index.plugging | 4, 14, 31, 96, 123, 151, 169 |
| abstract_inverted_index.pressure | 103, 128, 147 |
| abstract_inverted_index.process, | 15 |
| abstract_inverted_index.process. | 32 |
| abstract_inverted_index.reducing | 126 |
| abstract_inverted_index.regulate | 75 |
| abstract_inverted_index.spoilers | 36, 60 |
| abstract_inverted_index.designed. | 62 |
| abstract_inverted_index.gradient. | 129 |
| abstract_inverted_index.isolation | 3 |
| abstract_inverted_index.pneumatic | 68 |
| abstract_inverted_index.predictor | 93 |
| abstract_inverted_index.resulting | 24 |
| abstract_inverted_index.vibration | 26, 48, 161 |
| abstract_inverted_index.Therefore, | 33 |
| abstract_inverted_index.alleviated | 159 |
| abstract_inverted_index.controller | 112, 143 |
| abstract_inverted_index.disturbing | 54 |
| abstract_inverted_index.experiment | 56 |
| abstract_inverted_index.operation. | 170 |
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| abstract_inverted_index.mathematical | 64 |
| abstract_inverted_index.(bidirectional | 87 |
| abstract_inverted_index.Matlab/Simulink | 133 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5032411154 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I204553293 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.7599999904632568 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.49772589 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |