Transitions between level flight and hovering for a fixed-wing mini aerial vehicle
Bibliographic record
Abstract
This article describes a control strategy to bridge the autonomous transition between level and hovering flight of a fixed-wing mini-aerial vehicle. These autonomous transitions, combined with the level-flight and hovering modes, would permit dangerous missions like reconnaissance in hostile or restricted areas. Then, there are four flight modes during a mission : the level-flight, the level-flight to hovering (L2H), the hovering, and the hovering to level-flight (H2L). The model structures for both level-flight and hovering modes are based on the linearization of a six-degree-of-freedom rigid body model of a fixed-wing mini-aerial vehicle. Controllers for both main flying modes are presented. The L2H mode is managed by the level-flight controller, whereas the H2L is managed by the hovering controller. A systematic approach based on a logic-based switching supervisor is developed to manage the transition between modes. Experimental results of a mini-aerial vehicle testbed which uses the switching supervisor are presented.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".