Attitude Stabilization of an Uncooperative Spacecraft in an Orbital Environment using Visco-Elastic Tethers
Bibliographic record
Abstract
Active removal of large de-commissioned satellites is critical to the continued use of many of Earth’s orbits, as predicted by Donald J. Kessler in 1978. One solution to this problem is to use a tethered spacecraft system to capture and tow the highest risk debris to a disposal orbit. A signicant technical challenge lies with the capture, and subsequent stabilization, of a large and possibly tumbling debris. This paper addresses the target attitude stabilization aspect of the capture process. The two systems analyzed consist of 1) the currently accepted tethered spacecraft system where a single tether joins the target and the active chaser spacecraft, and 2) a newly proposed tethered spacecraft conguration that consists of a single tether attached to the active chaser spacecraft, which branches into four sub-tethers attached to the debris. An orbital environment is simulated, including gravity gradient torques. Incorporating the thrust ability of the chaser and exploiting the visco-elastic properties of the tethers, it is shown through numerical simulations that the proposed novel tethered spacecraft conguration provides an improved means of controlling the attitude of an uncooperative debris.
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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 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".