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Record W3127879686 · doi:10.2514/1.g005684

Flexible Structure Vibration Control Using Double-Gimbal Variable-Speed Control Moment Gyros

2021· article· en· W3127879686 on OpenAlexafffund
Shiyuan Jia, Jinjun Shan

Bibliographic record

VenueJournal of Guidance Control and Dynamics · 2021
Typearticle
Languageen
FieldEngineering
TopicMagnetic Bearings and Levitation Dynamics
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGimbalControl moment gyroscopeControl theory (sociology)VibrationRotor (electric)ActuatorModalController (irrigation)TorqueMoment (physics)Attitude controlVibration controlEngineeringComputer sciencePhysicsControl engineeringAerospace engineeringControl (management)Classical mechanicsAcoustics

Abstract

fetched live from OpenAlex

This paper studies the dynamics and control of a flexible space structure using double-gimbal variable-speed control moment gyros (DGVSCMGs). The DGVSCMGs are mounted on the flexible structure as actuators for attitude and vibration control. A flexible structure with a cluster of angular momentum devices is considered to be a gyroelastic body. The detailed dynamics of a single gyroelastic body under the influence of the actuators is derived using Kane’s method. A simple controller capable of vibration suppression is proposed for the attitude maneuver. A novel steering law is designed for the DGVSCMGs. Null motion of the gimbal angles and rotor rates is considered to compensate for the undesirable modal force in the vibration equation. Numerical simulations are performed to verify the effectiveness of the proposed controller and steering law.

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.

How this classification was reachedexpand

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 score0.845
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.213
Teacher spread0.206 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2021
Admission routes2
Has abstractyes

Explore more

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