Mechanical Design of a Solar Array Drive Mechanism: The Microspace Way
Bibliographic record
Abstract
The most common approach to generate power for near-Earth spacecraft is to harness energy from electromagnetic radiation released by the sun. This can be achieved by mounting solar cells to the spacecraft’s outer surfaces or on external appendages, commonly referred to as solar arrays. Solar cells utilize the photovoltaic effect, and are most effective when their normal is parallel to the solar vector. Their effectiveness decreases proportionally to the cosine of the angle between their normal and the solar vector. If solar cells are mounted with a fixed orientation relative to the spacecraft, their effectiveness is dependent on the attitude of the spacecraft. One solution to optimize spacecraft power generation is to implement an actuated solar array that has the ability to track the sun independent of the spacecraft attitude. This thesis presents the author’s contribution to the design of a Solar Array Drive Mechanism (SADM) for use on small spacecraft at the Space Flight Laboratory (SFL). A mechanical architecture is developed for the SADM. Design loads are derived for the system bearings, providing a method for their sizing. The SADM drivetrain is analyzed to provide the means for sizing the actuator and power transmission components.
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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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".