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Record W4386215928 · doi:10.32920/24043428.v1

Analysis and Design of Attitude Determination and Control Systems Onboard Micro Satellites Utilizing Spaceborne Synthetic Aperture Radar

2023· preprint· en· W4386215928 on OpenAlexaff
William Travis

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicInertial Sensor and Navigation
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsCubeSatSynthetic aperture radarAttitude controlSatelliteRemote sensingComputer scienceReaction wheelEarth observationStar trackerAerospace engineeringEngineeringSpacecraftGeology

Abstract

fetched live from OpenAlex

<p>Spaceborne Synthetic Aperture Radar (SAR) traditionally uses larger satellites in Sun synchronous orbits to provide high resolution image quality during any time of day or weather condition. This thesis describes the Attitude Determination and Control System (ADCS) for a micro-class satellite with a SAR antenna onboard (12U, CubeSat). The objective is to study how smaller satellites operate with SAR systems onboard utilizing a three reaction wheel configuration and a bias-momentum satellite using magnetic control. The viability for pointing a CubeSat containing SAR systems (Cube-SAR) is validated using a constructed high fidelity simulator which models system dynamics, actuators and sensors, the attitude filter, and the two control configurations. This thesis also discusses hardware selection and the application of zero Doppler steering for Cube-SAR. The results show that the system is controllable using the bias-momentum satellite, however it has restrictions that the fully stabilized three wheel case does not. </p>

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score0.902

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 head0.020
GPT teacher head0.235
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.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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