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Record W1600631709 · doi:10.1109/acc.2015.7171904

Control-oriented physics-based models for floating offshore wind turbines

2015· article· en· W1600631709 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWave and Wind Energy Systems
Canadian institutionsUniversity of British Columbia
FundersNational Renewable Energy Laboratory
KeywordsTorqueControl theory (sociology)Offshore wind powerTurbineWind powerBlade pitchNonlinear systemRotor (electric)Generator (circuit theory)DrivetrainComputer scienceEngineeringControl engineeringPhysicsControl (management)Aerospace engineeringMechanical engineeringPower (physics)

Abstract

fetched live from OpenAlex

This paper proposes a general control-oriented non-linear model for floating offshore wind turbine systems. It contains as many as six platform degrees of freedom as well as the rotor degree of freedom, and can account for full field wind and wave disturbances. Additionally, it accepts individual blade pitch, generator torque and yaw control inputs. The model is derived by assuming that the entire structure behaves as a single rigid body, under the influence of various forces and torques. Furthermore, it can be linearized analytically, making the wave disturbance matrix obtainable. We validate the proposed nonlinear model with advanced simulator FAST. Finally, we derive a simple LPV model from the proposed non-linear model.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.219
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations12
Published2015
Admission routes1
Has abstractyes

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