Development of a Magneto-Rheological Fluid-Based Trim Actuator with Active Tactile Cueing Capabilities
Bibliographic record
Abstract
A magneto-rheological (MR) fluid-based trim actuator is being developed for rotorcraft applications. The device can provide active tactile cues to the pilot in the form of infinitely variable force gradients, stick shaking, and soft stops. Tactile cueing has proved to be an effective method of increasing situational awareness, especially during emergency situations and can reduce pilot workload for increased operational safety. The MR actuator uses magneto-rheological fluid to permit variable slippage between rotating clutch surfaces. With an MR fluid, the torque transfer between the clutch surfaces is dependent upon a user controlled magnetic field that is used to modulate output forces applied to control linkages. This paper discusses the design of the MR trim actuator and the control logic used to implement active tactile cueing. The latest experimental results on a single axis test bench are presented and discussed. The prototype work shows that MR technology can provide broad tactile cueing functionality with size and weight similar to conventional trim actuators found on light aircraft that lack tactile cueing functions.
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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 | 0.001 | 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".