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Record W2101434706 · doi:10.1109/tmech.2010.2043849

Modeling of Piezoelectric-Driven Stick–Slip Actuators

2010· article· en· W2101434706 on OpenAlexaff
Jingfu Peng, Daniel Chen

Bibliographic record

VenueIEEE/ASME Transactions on Mechatronics · 2010
Typearticle
Languageen
FieldEngineering
TopicPiezoelectric Actuators and Control
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsActuatorPiezoelectricitySlip (aerodynamics)Displacement (psychology)Mechanical engineeringEngineeringRobot end effectorControl theory (sociology)AcousticsControl engineeringComputer scienceControl (management)PhysicsAerospace engineeringElectrical engineeringRobotArtificial intelligence

Abstract

fetched live from OpenAlex

Piezoelectric-driven stick-slip actuators have been drawing extensive attention in various applications of long-range and ultraprecision positioning. In such an actuator, the dynamics of the end-effector displacement is of importance for its design and control, yet challenging to be modeled due to the complexity involved. By taking into account the linear dynamics and hysteretic behavior of the piezoelectric actuator (PEA), as well as the presliding friction on the end-effector, a model representative of the end-effector displacement is presented in this paper. The effectiveness of the developed model is illustrated by the experiments on the piezoelectric-driven stick-slip actuator prototyped in the authors' laboratory.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.194
Teacher spread0.188 · 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

Citations110
Published2010
Admission routes1
Has abstractyes

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