MétaCan
Menu
Back to cohort
Record W2012487390 · doi:10.1115/imece2005-80498

Precision Tracking Controller Design for High Speed Feed Drives

2005· article· en· W2012487390 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIterative Learning Control Systems
Canadian institutionsUniversity of British ColumbiaUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsControl theory (sociology)Band-stop filterBall screwRobustness (evolution)VibrationTracking (education)Computer scienceFilter (signal processing)Sliding mode controlFrequency domainFeed forwardRobust controlBall (mathematics)Control engineeringControl systemLow-pass filterEngineeringAcousticsPhysicsControl (management)Artificial intelligenceMathematicsMechanical engineeringComputer vision

Abstract

fetched live from OpenAlex

This paper investigates the effectiveness of adaptive sliding mode control (SMC) for precision tracking in high speed machine tool drives. Dynamics of the feed drive, comprising of rigid body motion, guideway friction and ball screw vibrations, are identified. Two strategies are developed. The first one considers rigid body dynamics in the plant and compensates for the resonance with a notch filter. The second controller considers the first torsional mode as part of the plant and actively suppresses its vibrations. The two controllers are evaluated in frequency domain analyses and simulations. The results indicate that the notch filter based design is easier to implement and possesses comparable tracking, disturbance rejection, and robustness to the mode-compensating SMC. The simulation results are verified in tracking tests where 1.5 [um] of accuracy is achieved at a feed speed of 250 [mm/sec].

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 score0.925
Threshold uncertainty score0.582

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 head0.017
GPT teacher head0.238
Teacher spread0.221 · 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

Quick stats

Citations11
Published2005
Admission routes2
Has abstractyes

Explore more

Same topicIterative Learning Control SystemsFrench-language works237,207