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Record W1766849031 · doi:10.21236/ada589936

Analysis of Handling Qualities Design Criteria for Active Inceptor Force-Feel Characteristics

2013· report· en· W1766849031 on OpenAlexaboutno aff
Carlos Malpica, Jeff A. Lusardi

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicAerospace and Aviation Technology
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceEngineering drawingEngineering

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.061
GPT teacher head0.317
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations4
Published2013
Admission routes1
Has abstractyes

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Same topicAerospace and Aviation TechnologyFrench-language works237,207