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Record W4381186333 · doi:10.11159/cdsr23.212

NDI/INDI Control Scheme for Tilt-rotorcraft Unmanned Aircraft Systems

2023· article· en· W4381186333 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProceedings of the International Conference of Control, Dynamic systems, and Robotics · 2023
Typearticle
Languageen
FieldEngineering
TopicAerospace and Aviation Technology
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Innovates
KeywordsTilt (camera)Scheme (mathematics)Aerospace engineeringComputer scienceAeronauticsControl systemControl theory (sociology)Control (management)Control engineeringEngineeringArtificial intelligenceElectrical engineeringMechanical engineeringMathematics

Abstract

fetched live from OpenAlex

In this paper, a new control architecture is proposed to enable advanced Unmanned Aerial Vehicles to maneuver inside confined spaces to perform operations in Urban Search and Rescue missions and hazardous industrial spaces where sending humans is highly risky. The proposed controller is tested on a revolutionary highly maneuverable VTOL system first conceptualized by 4Front Robotics Ltd. presenting highly coupled dynamics enabling it to perform unique maneuvers such as pitch hover. To deal with the associated complexities and coupling motion effects inherent to such aircraft, a Nonlinear Dynamic Inversion (NDI) controller developed for position control, coupled with an Incremental Nonlinear Dynamic Inversion (INDI) controller designed for attitude control is described. The results for different flight maneuvers demonstrate effective the ability of the controller to control the position and orientation independently while tracking complex trajectories.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score0.648

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 science0.0010.000
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 head0.015
GPT teacher head0.230
Teacher spread0.216 · 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