Control of a Hovering Mini Fixed Wing Aerial Vehicle
Why this work is in the frame
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Bibliographic record
Abstract
This paper describes an approach for designing a stabilizing control strategy of a mini fixed wing aerial vehicle in hovering mode. This flight mode gives the ability to navigate inside a constrained environment. An inertial measurement unit is used to measure the attitude. The increased mass due to the on-board sensor poses a greater challenge to developing a functional autonomous vehicle than previous studies that employed o-board sensors for attitude sensing. Linear transfer functions are proposed for attitude with slow transits modeling. The design is achieved with a frequency domain method involving the Nichols chart. The control of a hovering vehicle requires ecient tuning methods capable of insuring robustness to account for model errors. Simulation and flight test results are presented to show the performance obtained with the proposed tuning method.
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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) | 0.001 | 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