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Motion compensation for maritime cranes during time-varying operations at the pendulum’s natural frequency

2021· article· en· W3208345057 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

VenueMechanism and Machine Theory · 2021
Typearticle
Languageen
FieldEngineering
TopicDynamics and Control of Mechanical Systems
Canadian institutionsCarleton University
Fundersnot available
KeywordsPayload (computing)Control theory (sociology)PendulumTrajectoryKinematicsReference frameComputer scienceNatural frequencyCompensation (psychology)EngineeringMotion compensationSimulationFrame (networking)VibrationAcousticsArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

In this paper, a framework for relative motion compensation is presented and demonstrated via simulation with kinematic crane-tip control. The method allows for compensation relative to a fixed platform or world-frame (ship-to-shore/platform transfer), a secondary moving body (ship-to-ship transfer), or the host body itself (on-deck operations) without modification. The system utilizes Motion Reference Units (MRUs) which are located on the host ship and the payload/hook. Sensor fusion is performed on the MRU data using real-time complementary filters to estimate the relative motion. The frequency response of the system is investigated, and practical considerations are discussed through a series of case studies, which include time-varying trajectories. Within simulation, the results show that the complementary filter estimates the orientation of the ship and payload under dynamic conditions. The resulting controller provided an improvement of 35 dB attenuation at the natural frequency of the pendulum relative to the uncompensated system. The case study of a pick-and-place operation demonstrates that the proposed system produces an order-of-magnitude reduction in the error metrics for the tracking performance and pendulum suppression. A hardware implementation reduced 83.8% of the motion for the worst-case natural frequency tests and up to 48.3% for the trajectory 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 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 score0.882
Threshold uncertainty score0.409

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 head0.005
GPT teacher head0.187
Teacher spread0.182 · 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