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Record W2215754428 · doi:10.5589/q12-012

Development of a flight dynamics model of a small unmanned airship

2012· article· en· W2215754428 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian aeronautics and space journal · 2012
Typearticle
Languageen
FieldEngineering
TopicAerospace Engineering and Energy Systems
Canadian institutionsnot available
Fundersnot available
KeywordsRudderFlight dynamicsAerospace engineeringMATLABEngineeringControl theory (sociology)Controller (irrigation)Control engineeringTrimState spaceLimit (mathematics)AeronauticsComputer scienceControl (management)Aerodynamics

Abstract

fetched live from OpenAlex

The scientific community has a renewed interest in airships owing to their potential applications in various tasks. The small unmanned airships are often used for inspection and environmental monitoring missions at low altitude. In this paper we introduce a study of two possible tail configurations of the unmanned airship AIUX15, arranged without ballast and ballonets and provided with an electric engine. We developed Matlab/Simulink models to simulate the dynamic behavior of two airship configurations. One of the goals of this research was to conduct an analysis of the feedback control laws for the 6-degrees-of-freedom model, which is linearized around the operational trim conditions. The controller gains were determined according to the pole-placement method. The closed-loop flight control was achieved by means of the state–space approach, to limit the oscillatory rolling motions induced by the rudder deflections.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.986

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 head0.017
GPT teacher head0.174
Teacher spread0.157 · 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