Solar-Drag Spacecraft Formation Control with Particle Swarm Optimization-Based Guardian Maps
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Bibliographic record
Abstract
This paper presents a new control law that combines solar radiation pressure and atmospheric drag as a forms of actuation with thrusters to reduce the fuel necessary to perform formation reconfiguration and maintenance. Specifically, utilizing the novel combination of particle swarm optimization algorithm with the stabilization technique of Guardian Map theory, a control law that is robust to changes in orbital position and angle with respect to the sun and velocity vectors is proposed. A linear parameter varying model of the chaser spacecraft that considers the effects of a third-body, and the nonlinear model of solar radiation pressure and atmospheric drag is also proposed in this paper and used in the development of the control law. Results show a reduction in fuel-consumption during the transients of formation reconfiguration and maintenance.
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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 | 0.000 |
| 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