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Record W2329508503 · doi:10.2514/6.2010-7652

Satellite Attitude Stabilization Using Four Fluid Rings in a Pyramidal Configuration

2010· article· en· W2329508503 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

VenueAIAA/AAS Astrodynamics Specialist Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsMcGill University
Fundersnot available
KeywordsSatelliteAttitude controlPhysicsComputer scienceGeologyControl theory (sociology)EngineeringAerospace engineeringArtificial intelligenceAstronomyControl (management)

Abstract

fetched live from OpenAlex

Attitude control of satellites using four fluid rings in a pyramidal configuration is studied in this paper. It is noticed that when the fluid rings are used as passive controllers, they can damp out all attitude disturbances of a satellite in a circular orbit and roll-yaw disturbances of a satellite in an elliptic orbit. However, this passive damping is fairly slow. An active controller using the fluid rings is developed next. It is found that a hybrid controller that uses sliding mode control law followed by PID control law performs quite well and is robust. Finally, pump dynamics is considered and a PID controller is developed for the pumps to generate the fluid flow rates required by the satellite controller.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.247
Teacher spread0.229 · 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