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Output Feedback Control of a Nonlinear Galfenol-Based Actuator for Active Vibration Control Systems

2024· article· en· W4402264432 on OpenAlexaff
Carmine Stefano Clemente, V. P. Loschiavo, Daniele Davino, Giselle Antunes Monteiro, Mohammad Al Saaideh, Pavel Krejčı́, Mohammad Al Janaideh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties and Applications
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsActuatorControl theory (sociology)Nonlinear systemVibration controlVibrationControl (management)Feedback controlControl systemOutput feedbackActive vibration controlComputer scienceControl engineeringEngineeringAcousticsPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

In this paper, an output feedback control strategy is proposed for a Galfenol-based actuator utilized in active vibration control systems. The design accounts for uncertain actuator dynamics in the presence of unknown loads and external disturbances. The dynamic characteristics of the Galfenol-based actuator are elucidated through the constitutive relationship of magnetostrictive materials. The aim is to devise a control signal, represented by the input current of the coil, capable of producing an output force to counteract any undesired motion of the platform induced by unknown loads or external disturbances, thereby maintaining output displacement at zero. Simulation results demonstrate the effectiveness of the proposed control approach in regulating the platform's output displacement close to zero across various scenarios of unknown loads and external disturbances.

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.426

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 head0.015
GPT teacher head0.241
Teacher spread0.226 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2024
Admission routes1
Has abstractyes

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