The development of autonomous flight control systems for optionally manned rotary-wing aircraft
Bibliographic record
Abstract
This article examines the evolution of fly-by-wire (FBW) flight control systems for rotary-wing aircraft, from early analogue to modern autonomous flight control systems. Such flight control systems can replace a pilot in case of adverse weather conditions and extreme situations, thereby enhancing flight safety. Proper integration of autonomous flight with manual control will minimize the critical human factor-related causes of flight accidents, such as collision with ground obstacles or loss of spatial orientation in severe meteorological conditions. Autonomous piloting mode implies monitoring and verification of input signals from the pilot and their comparison with targets of flight mission and current weather conditions (and restrictions imposed in connection with it). The system can include the pilot in the control loop and notify him of this, eliminating his activity in case of emergency. Modern autonomous control systems are considered based on the example of the flying testbed RASCAL JUH-60A, which was used to test elements of the FBW for the UH-60M Black Hawk helicopter during its modernization.
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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) | 0.000 | 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) | 0.001 | 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".