MétaCan
Menu
Back to cohort
Record W2315934130 · doi:10.1109/tmech.2014.2298241

Tracking and Structural Vibration Control of Flexible Ball–Screw Drives With Dynamic Variations

2014· article· en· W2315934130 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/ASME Transactions on Mechatronics · 2014
Typearticle
Languageen
FieldEngineering
TopicIterative Learning Control Systems
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBall screwControl theory (sociology)VibrationBall (mathematics)Controller (irrigation)Open-loop controllerVibration controlComputer scienceFeedback controllerControl engineeringEngineeringMechanical engineeringControl (management)AcousticsPhysicsMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

This paper proposes a parallel structure of a feedback controller for the ball-screw drive systems which have significant dynamic variations during operations. The controller consists of two controllers with two different objectives. One controller aims at moving the workpiece table so that its position tracks reference trajectories with high speed and high accuracy. The other controller is for suppressing the structural vibration caused by the cutting force disturbance around system's resonant frequencies. To take into account the resonant modes' variations which are peculiar to ball-screw drives, a gain-scheduled controller is utilized as the vibration suppression controller. Advantages of the proposed controller structure in the ball-screw drive control application are discussed. It is experimentally demonstrated that the controller with the parallel structure is effective in achieving high performance in both trajectory tracking and cutting force disturbance rejection.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score0.835

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 head0.004
GPT teacher head0.198
Teacher spread0.194 · 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