Development and Controllability Evaluation of a Small-Scale Supersonic UAV
Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2022-3792.vid A project aimed at developing and flight-testing a small-scale supersonic uncrewed aerial vehicle (SSUAV) at the University of Calgary is introduced and current progress described. The project's goals, design trade-offs, and future plans are explained. A six degree-of-freedom mathematical model is developed and simulated to explore the controllability of the aircraft. The SSUAV model is trimmed and linearized throughout the flight regime to evaluate handling qualities and inform control requirements. Evaluation of response mode time constants according to MIL-STD-1797 show acceptable controllability characteristics at cruise conditions. Further comparison of time constants with similar aircraft of various scales identifies an extreme sensitivity to roll input as a challenge impeding the development of SSUAVs. Continued validation of existing methods and development of new methods for predicting aircraft controllability is required to further the field of small-scale supersonic aircraft.
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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) | 0.002 | 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".