Blade Flapping Measurement System for Small Scale Rotorcraft
Bibliographic record
Abstract
Flight data are often required to improve rotorcraft dynamic inflow models, especially for multi-rotor configurations. However, traditional full-scale wind-tunnel experiments are not suitable for hundred-pound-sized rotorcraft. Therefore, methods to capture flapping motion directly in flight are a good substitute. The teetering blade angle is measured using a hall effect sensor, and another hall effect is used to synchronize its azimuth. This work presents a design and prototype of an acquisition system and demonstrates its functionality on a rotor mock-up. Post-processing takes the raw flapping angle measured in the rotating frame and estimates the rotor tip path plane angles in the non-rotating frame. The results show the acquisition capacities to sense flapping motion and synchronize its data to UTC under one millisecond of error. Therefore, data can be matched to airframe inertial and navigation data or another acquisition system. Data generated can be used to validate/calibrate trim models and dynamic inflow models.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".