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Record W3094506350 · doi:10.4050/f-0076-2020-16458

Helicopter Short Line Underslung Payload Transportation: Exploration of Magneto-Rheological Actuators for payload motion control

2020· article· en· W3094506350 on OpenAlexaboutno aff
Etienne Perron, Jean Sebastien Plante, M. B. Alexander, David Rancourt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsnot available
Fundersnot available
KeywordsPayload (computing)ActuatorLine (geometry)EngineeringMotion controlAerospace engineeringComputer scienceControl theory (sociology)SimulationControl (management)RobotElectrical engineering

Abstract

fetched live from OpenAlex

This study investigates the magneto-rheological actuator's application into the helicopter slung load operations. The intent is to determine if magneto-rheological actuators (MRA) could enables a new approach to external payload stabilization. A particular solution presented as the Slung Load Stabilisation System (SLSS) is detailed for short line operation. The concept takes shape in a prototype with four MRAs pulling on the four ends of a helicopter landing gear. A prototype is built to tests various conditions and controllers and to be the baseline for further numerical modeling. Numerical trials reveal the SLSS has limited control authority on pendulum motion but gives an appreciable amount of control on the payload azimuth. Lastly, the SLSS prototype is fitted under a conditions Bell-206 helicopter at the National Research Council of Canada to observe its functionality in real-world constraints.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.039
GPT teacher head0.235
Teacher spread0.195 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations0
Published2020
Admission routes1
Has abstractyes

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Same topicVibration Control and Rheological FluidsFrench-language works237,207