Analysis of Handling Qualities Design Criteria for Active Inceptor Force-Feel Characteristics
Bibliographic record
Abstract
An analytical model of the coupled pilot/vehicle dynamics, based fundamentally on the classical crossover model of a pilot, was examined extensively for its applicability in studying the effect of inceptor force-feel dynamics. Flight and ground-based simulation tests have been conducted on the AFDD JUH-60A RASCAL and the DLR ACT/FHS EC-135 in-flight simulator helicopters, and the NASA-Ames Vertical Motion Simulator (VMS). Analysis of test data has shown a preference for increased natural frequencies and damping ratios of the simplified second order dynamics of the force-feel system. Correlation of analytical model results with the piloted evaluations from these tests showed that precise handling qualities predictions remain challenging, but that it was possible to qualitatively characterize the relative influence of the force-feel dynamics on the handling qualities as being associated with the neuromuscular coupling of pilot, inceptor and 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".