Flight Test Demonstration of a Multi-axis Actively Controlled Helicopter Seat Mount System
Bibliographic record
Abstract
The in-flight performance of an in-house developed multi-axis actively controlled mount system for helicopter seats is presented in this paper. The progression of the development of the seat mount from its conceptual design to an airworthy system suitable for flight demonstration is explained. The performance of the airworthy system is first evaluated using mannequins of three different weight categories. The evaluation is performed uniaxially in the vertical and fore/aft directions, independently. In each case, acceleration measurements collected on a Bell-412 research helicopter are used as the input vibration profile for shaker testing. To cancel the vibrations, a feedforward Filtered-X Least Mean Square (FxLMS) algorithm is employed as the adaptive control law. The system is then tested on a Human Rated Shaker using human occupants. Repeated successful performance of the system on the Human Rated Shaker led to the final stage of testing where the airworthy system is installed in the cockpit of a Bell-412 helicopter and is evaluated under representative flight conditions including ground run, level flights at 100 kts and 120 kts, and hover. In-flight measurements show that the overall g-rms vertical vibration levels at the seat-cushion interface reduce by 30% to 65% depending on the flight condition. Taking into account that the developed system was being tested in real flight conditions for the very first time, its performance is considered very promising in reducing Whole Body Vibrations and improving helicopter ride quality. Further development of the system could offer this technology as a viable solution for mitigating the adverse impacts of helicopter vibrations on aircrew.
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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".