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Record W2042458083 · doi:10.1117/12.715889

Passivity-based control of magnetostrictive materials

2007· article· en· W2042458083 on OpenAlexaff
Sina Valadkhan, Kirsten Morris, Amir Khajepour

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Typearticle
Languageen
FieldEngineering
TopicPiezoelectric Actuators and Control
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPassivityControl theory (sociology)MagnetostrictionPosition (finance)HysteresisController (irrigation)Stability (learning theory)Nonlinear systemExponential stabilityTracking (education)Control engineeringComputer scienceControl (management)EngineeringPhysicsMagnetic field

Abstract

fetched live from OpenAlex

In this article, velocity and position controllers for magnetostrictive materials are designed and discussed. Magnetostrictive materials are a competitive choice for micro-positioning actuation tasks because of the large force and strain they provide. Unfortunately, they are highly nonlinear and hysteretic, which makes them difficult to control. In this article, the passivity approach is used to establish stability for velocity control. Using a physical argument, passivity of the system under discussion is proved. No model for magnetostrictive material is used in this proof and the result can be used in any hysteresis model for the material. This result is used to develop a stabilizing velocity controller. For position control, it is shown that a PI controller can provide stability and tracking if the hysteretic plant satisfies certain conditions. It is shown that these conditions are satisfied for the Preisach model under mild assumptions. Using this result, a class of stabilizing position controllers is identified. The velocity and position controllers are evaluated experimentally and their performances discussed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.006
GPT teacher head0.200
Teacher spread0.195 · 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.

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
Published2007
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicPiezoelectric Actuators and ControlFrench-language works237,207