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Record W2032223922 · doi:10.1117/12.719592

Autonomous precision formation flying: a proposed fault tolerant attitude control strategy

2007· article· en· W2032223922 on OpenAlexafffund
Tao Jiang, K. Khorasani

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Typearticle
Languageen
FieldEngineering
TopicSpace Satellite Systems and Control
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Space Agency
KeywordsAttitude controlActuatorReaction wheelComputer scienceObserver (physics)Control theory (sociology)Control engineeringNonlinear systemControl (management)SatelliteFault (geology)Fault toleranceAutomationReal-time computingEngineeringDistributed computingAerospace engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Future space missions, such as those involving formation flying of multiple satellites require high operational autonomy mainly with the aim of reducing the operation costs and improving reactivity to sensed data. In particular, stringent performance requirements envisaged precision formation flying cannot be achieved by currently available technologies. One of the main challenges in achieving autonomy is the capability of fault management without extensive involvement of ground station operators. This paper uses a second order nonlinear sliding mode observer to detect actuator faults in the attitude control system of a satellite with four reaction wheels in a tetrahedron configuration. A post-processing of residuals is required to isolate and reconstruct the faults in all four reaction wheels. Furthermore, the control strategy needs to be reconfigured to recover faults. Simulation results show that the proposed strategy can detect, isolate and reconstruct reaction wheel faults in the attitude control system of a satellite.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.761
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.010
GPT teacher head0.224
Teacher spread0.214 · 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.

Study designBench or experimental
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

Citations1
Published2007
Admission routes2
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicSpace Satellite Systems and ControlFrench-language works237,207