Modeling and Control of a Hovering Mini Tail-Sitter
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A systematic approach to characterize and control the attitude of a hovering tail-sitter mini-aerial vehicle (TS-MAV) is developed. A model of the TS-MAV dynamics is formulated by decoupling and linearizing a nonlinear model based on quaternions. Identification of the model parameters was carried out using a prediction error method and flight test data. Two control structures were synthesized to examine the benefits of using an anti-windup proportional-integral regulator in the inner control loop rather than in the outer control loop. It was found that a regulator in the inner loop reduced overshoot and eliminated an unstable pole. Flight tests with a TS-MAV test bed showed that a nine percent overshoot was reduced to zero thereby demonstrating the enhanced responsiveness of the vehicle using this control strategy.
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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