Cubesat BDOT Control Modelling-Detumbling and Angular Momentum Management
Bibliographic record
Abstract
The purpose of this thesis is to explore the uses of magnetic torquers on a CubeSat. This is focused on tuning the gain value of a B-DOT controller for the Detumbling of the ESSENCE CubeSat. This was tested with a converged rate value of 0.05deg/secs as the criterion over 15 orbits; with each simulation having a total of 20 runs. The matrix chosen for the gain value was tested to ensure it was feasible regardless of a change in the initial tumbling rate, settling time and slight command errors. The Appendix shows sample test results for this model. The second magnetic torquer use which was to have a gain tuning was the momentum dumping. the control law was a variant of the B-DOT controller focusing on the angular momentum, this was applied to the form of Angular Momentum Management of the CubeSat. Although the overall testing procedure was edited, more tuning is required for the momentum dumping gain value.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".