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Record W2325228453 · doi:10.2514/6.2010-7856

Robust Thrust-Only Control of Damaged Aircraft with Horizontal Tail Loss

2010· article· en· W2325228453 on OpenAlexaff
Yoshitsugu Hitachi, Hugh H. T. Liu

Bibliographic record

VenueAIAA Guidance, Navigation, and Control Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicStability and Control of Uncertain Systems
Canadian institutionsUniversity of Toronto
FundersNational Aeronautics and Space Administration
KeywordsAerospace engineeringThrustControl (management)Control theory (sociology)Environmental scienceComputer scienceEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

The study of ∞ight dynamics and control of damaged aircraft has received much interest recently. Structural damage to airframe, stabilizers, or control surfaces do not only result in a large degree of undesired change and uncertainty in aircraft dynamics but also make it challenging to achieve desired control since the only efiective way is by modulating engine thrust. This emergency control strategy is referred to as propulsion-controlled aircraft (PCA). This paper presents the robust PCA ∞ight control for aircraft with asymmetric horizontal tail damage. The proposed PCA control approach utilizes the H1 loop transfer recovery technique and is contrasted with the conventional control method. The impact of damage and efiectiveness of the developed PCA controller is demonstrated through simulations. In this process, a method for parameterizing the efiect of the damage on the dynamics is also proposed and the dynamics of the aircraft with horizontal tail damage is developed by taking the proposed approach.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.006

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 head0.008
GPT teacher head0.190
Teacher spread0.183 · 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 designSimulation or modeling
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

Citations3
Published2010
Admission routes1
Has abstractyes

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Same venueAIAA Guidance, Navigation, and Control ConferenceSame topicStability and Control of Uncertain SystemsFrench-language works237,207