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Record W2480433432 · doi:10.1109/acc.2016.7526141

Flexible kiteplane modeling and control with an unsteady aerodynamic model

2016· article· en· W2480433432 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
TopicAerospace Engineering and Energy Systems
Canadian institutionsMcGill University
Fundersnot available
KeywordsControl theory (sociology)AerodynamicsPID controllerTrigonometric functionsComputer scienceEngineeringMathematicsPhysicsControl engineeringMechanicsControl (management)Temperature control

Abstract

fetched live from OpenAlex

This paper considers dynamic modeling and control of a flexible kiteplane used for wind-energy harvesting. Each component of the kiteplane is modeled separately and is then constrained to the other components using the null-space method. The flexible wings are modeled as thin plates with bending and torsional stiffness. An unsteady aerodynamic model is included to increase the fidelity of the simulation under transient conditions. A proportional-integral-derivative (PID) attitude control law is implemented that uses the direction cosine matrix (DCM) directly and proportional-integral (PI) control is used to track a desired tether reel-in rate. Numerical simulation of the closed-loop system demonstrate the kiteplane's ability to harvest wind energy.

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 score0.621
Threshold uncertainty score0.406

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 head0.006
GPT teacher head0.167
Teacher spread0.161 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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