A new sun tracking attitude mode for Nadir pointing microsatellites
Bibliographic record
Abstract
Nanosatellites in ISS orbits experience a fluctuation in the power available to the solar panels during the mission lifetime. If the satellite is continuously operating in Nadir pointing (NP) mode, the power generation presents minima resulting in a non-optimal use of the available power. This study proposes a new attitude mode, called pitch sun tracking (PST), to maximise the power received by the solar panels which can be employed when the minimum values of power production are foreseen. It is shown that a 2U-CubeSat equipped with a momentum wheel can acquire and maintain such an attitude mode with acceptable accuracy. The PST mode can maximise power production by tracking the projection of the Sun vector on the orbital plane. Simulations show that the extended Kalman filter estimator satisfies the required determination accuracy and a linear quadratic regulator controller designed for the NP mode can be adapted for the PST mode.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".