Cubesat BDOT Control Modelling-Detumbling and Angular Momentum Management
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.
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.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it