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Record W4383502199 · doi:10.4050/f-0079-2023-17967

Performance Exploration of Vertical Payload Lifting Using a Single Circling Tethered Fixed-Wing Aircraft

2023· article· en· W4383502199 on OpenAlexaff
Maxime Doguet, Mathieu Bouchard, David Rancourt

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAerospace and Aviation Technology
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPayload (computing)Aerospace engineeringLift (data mining)DragLift-to-drag ratioFixed wingComputer scienceWingControl theory (sociology)EngineeringSimulationControl (management)

Abstract

fetched live from OpenAlex

Since the beginning of the 2000s, concepts for transporting payload with multiple tethered aircraft have been proposed to balance the lateral loads on a stationary payload. An alternative, initially developed in the 1940s considered a single aircraft and long tether to minimize the lateral motion of the payload during the circling motion of the aircraft in hover. To shorten the tether and reduce the drag losses associated, a concept with a single aircraft and an active stabilization system on the payload is proposed. This paper demonstrates that a single Pipistrel Sinus can vertically lift a stabilized underslung payload of 660 lb (300 kg) at 6,000 ft (1,800 m) under temperature conditions of 95 deg F (35 deg C) with less than 47 hp (35 kW) and a reduction of 70% of the tether length compared to a non-stabilized payload.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.046
GPT teacher head0.247
Teacher spread0.201 · 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 teacher head, 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

Citations1
Published2023
Admission routes1
Has abstractyes

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