Analysis and Design of Attitude Determination and Control Systems Onboard Micro Satellites Utilizing Spaceborne Synthetic Aperture Radar
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".