Performance of a Cable-Driven Robot Used for Cyber–Physical Testing of Floating Wind Turbines Article Swipe
Yngve Jenssen
,
Thomas Sauder
,
Maxime Thys
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/jmse12091669
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/jmse12091669
Cyber–physical testing has been applied for a decade in hydrodynamic laboratories to assess the dynamic performance of floating wind turbines (FWTs) in realistic wind and wave conditions. Aerodynamic loads, computed by a numerical simulator fed with model test measurements, are applied in real time on the physical model using actuators. The present paper proposes a set of short and targeted benchmark tests that aim to quantify the performance of actuators used in cyber–physical FWT testing. They aim at ensuring good load tracking over all frequencies of interest and satisfactory disturbance rejection for large motions to provide a realistic test setup. These benchmark tests are exemplified on two radically different 15 MW FWT models tested at SINTEF Ocean using a cable-driven robot.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/jmse12091669
- OA Status
- gold
- Cited By
- 2
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402600446
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402600446Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/jmse12091669Digital Object Identifier
- Title
-
Performance of a Cable-Driven Robot Used for Cyber–Physical Testing of Floating Wind TurbinesWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-09-18Full publication date if available
- Authors
-
Yngve Jenssen, Thomas Sauder, Maxime ThysList of authors in order
- Landing page
-
https://doi.org/10.3390/jmse12091669Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3390/jmse12091669Direct OA link when available
- Concepts
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Marine engineering, Robot, Wind power, Cyber-physical system, Environmental science, Computer science, Aerospace engineering, Engineering, Aeronautics, Automotive engineering, Electrical engineering, Artificial intelligence, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2Per-year citation counts (last 5 years)
- References (count)
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25Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.interest | 86 |
| abstract_inverted_index.physical | 46 |
| abstract_inverted_index.proposes | 53 |
| abstract_inverted_index.quantify | 65 |
| abstract_inverted_index.targeted | 59 |
| abstract_inverted_index.testing. | 74 |
| abstract_inverted_index.tracking | 81 |
| abstract_inverted_index.turbines | 19 |
| abstract_inverted_index.actuators | 69 |
| abstract_inverted_index.benchmark | 60, 101 |
| abstract_inverted_index.different | 108 |
| abstract_inverted_index.numerical | 32 |
| abstract_inverted_index.radically | 107 |
| abstract_inverted_index.realistic | 22, 97 |
| abstract_inverted_index.rejection | 90 |
| abstract_inverted_index.simulator | 33 |
| abstract_inverted_index.actuators. | 49 |
| abstract_inverted_index.Aerodynamic | 27 |
| abstract_inverted_index.conditions. | 26 |
| abstract_inverted_index.disturbance | 89 |
| abstract_inverted_index.exemplified | 104 |
| abstract_inverted_index.frequencies | 84 |
| abstract_inverted_index.performance | 15, 67 |
| abstract_inverted_index.cable-driven | 119 |
| abstract_inverted_index.hydrodynamic | 9 |
| abstract_inverted_index.laboratories | 10 |
| abstract_inverted_index.satisfactory | 88 |
| abstract_inverted_index.measurements, | 38 |
| abstract_inverted_index.Cyber–physical | 0 |
| abstract_inverted_index.cyber–physical | 72 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.74209397 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |