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Record W2061725852 · doi:10.1243/09544100jaero269

Satellite attitude control using solar radiation pressure based on non-linear sliding mode control

2008· article· en· W2061725852 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Dynamics and Control
Canadian institutionsToronto Metropolitan University
FundersCanada Research Chairs
KeywordsControl theory (sociology)Sliding mode controlAttitude controlSatelliteRobustness (evolution)Feedback linearizationSolar sailLinearizationComputer scienceControl engineeringNonlinear systemEngineeringControl (management)Aerospace engineeringSpacecraftPhysics

Abstract

fetched live from OpenAlex

The paper proposes the use of solar radiation pressure for satellite attitude control using non-linear sliding mode control (SMC). The system comprises a satellite with two-oppositely placed solar flaps. A non-linear SMC approach has been adopted to develop control law for suitably rotating the solar flaps to achieve desired satellite attitude performance. The detailed numerical simulation of the governing non-linear system equation of motion including the effects of various system parameters on the controller performance, establishes the feasibility of the proposed control strategy. The numerical simulation matches with the analytical results. Furthermore, the proposed controller is found to be robust against external disturbances and its performance is superior in comparison to feedback linearization control. Thus, the robustness of the proposed control strategy makes it attractive for future space applications.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.008
GPT teacher head0.200
Teacher spread0.193 · 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