Tuning of Nacelle Feedback Gains for Floating Wind Turbine Controllers Using a Two-DOF Model Article Swipe
YOU?
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· 2020
· Open Access
·
· DOI: https://doi.org/10.1115/omae2020-18770
Designing a collective blade pitch controller for floating offshore wind turbines (FOWTs) poses unique challenges due to the interaction of the controller with the dynamics of the platform. The controller must also handle the competing objectives of power production performance and fatigue load management. Existing solutions either detune the controller with the result of slowed response, make use of complicated tuning methods, or incorporate a nacelle velocity feedback gain. With the goal of developing a simple control tuning method for the general FOWT researcher that is easily extensible to a wide array of turbine and hull configurations, this last idea is built upon by proposing a simple tuning strategy for the feedback gain. This strategy uses a two degree-of-freedom (DoF) turbine model that considers tower-top fore-aft and rotor angular displacements. For evaluation, the nacelle velocity term is added to an existing gain scheduled proportional-integral controller as a proportional gain. The modified controller is then compared to baseline land-based and detuned controllers on an example system for several load cases. First-pass results are favorable, demonstrating how researchers can use the proposed tuning method to efficiently schedule gains for adequate controller performance as they investigate new FOWT configurations.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1115/omae2020-18770
- OA Status
- green
- Cited By
- 18
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3113417162
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3113417162Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1115/omae2020-18770Digital Object Identifier
- Title
-
Tuning of Nacelle Feedback Gains for Floating Wind Turbine Controllers Using a Two-DOF ModelWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-08-03Full publication date if available
- Authors
-
Eben Lenfest, Andrew J. Goupee, Alan Wright, Nikhar AbbasList of authors in order
- Landing page
-
https://doi.org/10.1115/omae2020-18770Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.osti.gov/biblio/1669567Direct OA link when available
- Concepts
-
Nacelle, Control theory (sociology), Controller (irrigation), Turbine, Computer science, Rotor (electric), Offshore wind power, Control engineering, Engineering, Control (management), Aerospace engineering, Artificial intelligence, Mechanical engineering, Biology, AgronomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
18Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 2, 2023: 11, 2022: 2Per-year citation counts (last 5 years)
- References (count)
-
22Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.either | 47 |
| abstract_inverted_index.handle | 33 |
| abstract_inverted_index.method | 79, 182 |
| abstract_inverted_index.result | 53 |
| abstract_inverted_index.simple | 76, 107 |
| abstract_inverted_index.slowed | 55 |
| abstract_inverted_index.system | 165 |
| abstract_inverted_index.tuning | 61, 78, 108, 181 |
| abstract_inverted_index.unique | 14 |
| abstract_inverted_index.(FOWTs) | 12 |
| abstract_inverted_index.angular | 129 |
| abstract_inverted_index.control | 77 |
| abstract_inverted_index.detuned | 160 |
| abstract_inverted_index.example | 164 |
| abstract_inverted_index.fatigue | 42 |
| abstract_inverted_index.general | 82 |
| abstract_inverted_index.nacelle | 66, 134 |
| abstract_inverted_index.results | 171 |
| abstract_inverted_index.several | 167 |
| abstract_inverted_index.turbine | 94, 121 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Existing | 45 |
| abstract_inverted_index.adequate | 188 |
| abstract_inverted_index.baseline | 157 |
| abstract_inverted_index.compared | 155 |
| abstract_inverted_index.dynamics | 25 |
| abstract_inverted_index.existing | 141 |
| abstract_inverted_index.feedback | 68, 112 |
| abstract_inverted_index.floating | 8 |
| abstract_inverted_index.fore-aft | 126 |
| abstract_inverted_index.methods, | 62 |
| abstract_inverted_index.modified | 151 |
| abstract_inverted_index.offshore | 9 |
| abstract_inverted_index.proposed | 180 |
| abstract_inverted_index.schedule | 185 |
| abstract_inverted_index.strategy | 109, 115 |
| abstract_inverted_index.turbines | 11 |
| abstract_inverted_index.velocity | 67, 135 |
| abstract_inverted_index.Designing | 1 |
| abstract_inverted_index.competing | 35 |
| abstract_inverted_index.considers | 124 |
| abstract_inverted_index.platform. | 28 |
| abstract_inverted_index.proposing | 105 |
| abstract_inverted_index.response, | 56 |
| abstract_inverted_index.scheduled | 143 |
| abstract_inverted_index.solutions | 46 |
| abstract_inverted_index.tower-top | 125 |
| abstract_inverted_index.First-pass | 170 |
| abstract_inverted_index.challenges | 15 |
| abstract_inverted_index.collective | 3 |
| abstract_inverted_index.controller | 6, 22, 30, 50, 145, 152, 189 |
| abstract_inverted_index.developing | 74 |
| abstract_inverted_index.extensible | 88 |
| abstract_inverted_index.favorable, | 173 |
| abstract_inverted_index.land-based | 158 |
| abstract_inverted_index.objectives | 36 |
| abstract_inverted_index.production | 39 |
| abstract_inverted_index.researcher | 84 |
| abstract_inverted_index.complicated | 60 |
| abstract_inverted_index.controllers | 161 |
| abstract_inverted_index.efficiently | 184 |
| abstract_inverted_index.evaluation, | 132 |
| abstract_inverted_index.incorporate | 64 |
| abstract_inverted_index.interaction | 19 |
| abstract_inverted_index.investigate | 193 |
| abstract_inverted_index.management. | 44 |
| abstract_inverted_index.performance | 40, 190 |
| abstract_inverted_index.researchers | 176 |
| abstract_inverted_index.proportional | 148 |
| abstract_inverted_index.demonstrating | 174 |
| abstract_inverted_index.displacements. | 130 |
| abstract_inverted_index.configurations, | 97 |
| abstract_inverted_index.configurations. | 196 |
| abstract_inverted_index.degree-of-freedom | 119 |
| abstract_inverted_index.proportional-integral | 144 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8600000143051147 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.87568157 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |