On the application of reflectivity control devices in spacecraft attitude control
Bibliographic record
Abstract
This paper investigates the application of reflectivity control devices in spacecraft attitude control. In reflectivity control devices, in particular, the polymer-dispersed liquid–crystal type, the light transmission properties of the film can be altered from transparent to opaque by adjusting the amount of applied voltage. This technology has previously been applied to residential and commercial buildings and, recently, it has been widely adopted in the automotive industry for purposes such as electrochromic glass roofs. Since spacecraft in orbit receive a continuous flow of photons emitted from the Sun (when in the sunlit portion of their orbits), the momentum transferred from these photons to the spacecraft can be utilized for attitude and orbit control. The focus of this paper is on attitude control through strategically adjusting the transparency of reflectivity-control panels attached to the spacecraft away from its center of mass. In this paper, a conceptual design for a spacecraft equipped with reflectivity-control device panels is presented, and the equations of attitude motion coupled with control torques produced by these devices are derived. Furthermore, a control strategy for detumbling a small satellite, such as a CubeSat, is investigated. To assess the viability of reflectivity-control technology in spacecraft attitude control, a number of case studies are presented. The performance of these devices is discussed in light of the results obtained from the numerical simulations.
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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 | 0.001 |
| 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".