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Record W4402124582 · doi:10.1109/tiv.2024.3453208

Coaxial Tilt-Rotor UAV: Fixed-Time Control, Mixer, and Flight Test

2024· article· en· W4402124582 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Intelligent Vehicles · 2024
Typearticle
Languageen
FieldEngineering
TopicAerospace Engineering and Control Systems
Canadian institutionsUniversity of Alberta
FundersNational Natural Science Foundation of China
KeywordsRotor (electric)CoaxialTilt (camera)Flight testControl theory (sociology)Fixed wingAerospace engineeringComputer scienceControl (management)EngineeringElectrical engineeringMechanical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

The coaxial tilt-rotor (CTR) unmanned aerial vehicle (UAV) is a distinctive multirotor aircraft which incorporates two coaxial tilt-rotor (CTR) modules and a rear rotor, enabling it to execute diverse maneuvers and achieve high-speed forward flight. In this work, according to the specific configuration of the CTRUAV, a cascaded fixed-time (FT) control strategy and a nonlinear state-varying mixer are proposed to improve the CTRUAV's stability, transient performance, and robustness. The FT convergent property of the designed control strategy is validated and discussed by simulations. Finally, real-time experiments are implemented on a self-built CTRUAV experimental platform. The simulations and experimental results with different controllers demonstrate the effectiveness and superiority of the designed control method.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.913
Threshold uncertainty score1.000

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)0.0000.001

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 head0.005
GPT teacher head0.189
Teacher spread0.184 · 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