Using Presagis simulation software to model UAV aircraft in a humanitarian mission configuration
Bibliographic record
Abstract
Aircraft simulation software was used together to simulate a humanitarian variant of the MQ-9 Reaper drone as well as its longitudinal stability response upon dropping an aid payload. This project derives stability derivatives from the MQ-9 dimensions using the mass moments of inertia and approximate air- foil shape using Athena Vortex Lattice (AVL) code. The stability derivatives, aircraft properties, weights and control systems were modelled with Presagis FlightSim 14 to approximate the MQ-9 flight model. A graphics model was also built using Presagis Creator and the flight model and graphics model were unified into a virtual environment. Its longitudinal short period and phugoid responses as well as the lateral Dutch mode after dropping a 200 kg payload was recorded and analysed. The older Ryan Navion was also modelled using the same method which was used to model the MQ-9. The same dynamic responses were compared to real Navion flight test and calculated data in order to validate the aforementioned modelling method.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".