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Record W3025244420 · doi:10.1109/tmech.2020.2995138

Control of Multiple Quad-Copters With a Cable-Suspended Payload Subject to Disturbances

2020· article· en· W3025244420 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

VenueIEEE/ASME Transactions on Mechatronics · 2020
Typearticle
Languageen
FieldEngineering
TopicAdaptive Control of Nonlinear Systems
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPayload (computing)Control theory (sociology)UnderactuationPassivityController (irrigation)Computer scienceBounded functionObserver (physics)Energy (signal processing)Control engineeringEngineeringControl (management)MathematicsPhysics

Abstract

fetched live from OpenAlex

In this article, a new control scheme is proposed to enable multiple quad-copters to cooperatively carry a cable-suspended payload. This cascaded controller takes into account the quad-copters underactuation and exploits the energetic passivity of the payload-cables-drones multibody system to achieve stable control. The controller is simple and requires no information about the cables tensions. A storage function inspired by the mechanical energy of the system is introduced and used to derive the control laws that achieve semiglobal exponential stability. The stability is shown to be robust with respect to bounded disturbance forces acting on the quad-copters and the payload. Additionally, a time-domain observer estimates the energy that perturbations may inject to the system and dissipates it through variable damping. This helps suppress disturbance-induced oscillations. The effectiveness of the control strategy is demonstrated in several experiments.

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 score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.014
GPT teacher head0.201
Teacher spread0.187 · 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