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Record W4401413828 · doi:10.1109/tie.2024.3423371

Magnet-Coil Role-Switching Real-Time Wrench Model for Magnetic Levitated Motors With Extendable Motion Range

2024· article· en· W4401413828 on OpenAlexafffund
Yang Wang, Zhenchuan Xu, Mir Behrad Khamesee

Bibliographic record

VenueIEEE Transactions on Industrial Electronics · 2024
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsWrenchMagnetMagnetic levitationElectromagnetic coilRange (aeronautics)TorqueAutomotive engineeringComputer scienceMechanical engineeringControl theory (sociology)Electrical engineeringEngineeringPhysicsAerospace engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Magnetic levitation motors are broadly employed for haptic devices and precision manufacturing. The motor developed in this study comprises a disc-magnet mover and stating square coils. Such actuators are commonly controlled using lookup tables, which require large amounts of memory and time-consuming offline preparation. To accurately calculate the system wrench in real time, a novel wrench model is proposed by considering the disc magnet and the square coils as thin-walled solenoid and multiple stacked magnets, respectively. The Gauss–Legendre quadrature and magnetic surface charge approach are utilized to numerically estimate the Lorentz force and torque. The role-switching model computes the wrench matrix between a single disc magnet and nine coils in 96.5 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\boldsymbol{\mu}$</tex-math></inline-formula>s via parallel computing. Considering the system current limits, the weighted pseudoinverse is incorporated for commutation to further extend the motion range. The model accuracy is evaluated and verified through the Frobenius norm and load cell measurements. The experimental results show that the motion resolutions are <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\boldsymbol{\pm}$</tex-math></inline-formula>10 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\boldsymbol{\mu}$</tex-math></inline-formula>m and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\boldsymbol{\pm}$</tex-math></inline-formula>0.02<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${}^{\circ}$</tex-math></inline-formula> in the translational and rotational axes, respectively. The trajectory tracking results show that the magnetic levitation motor can translate the mover across the platform with a 380 mm side length limited only by the platform geometry, and the mover can be levitated up to a noticeably large air gap of 65 mm and rotated up to an extensive range of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\boldsymbol{\pm}$</tex-math></inline-formula>45<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${}^{\circ}$</tex-math></inline-formula>.

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 categoriesMeta-epidemiology (narrow)
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 score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.211
Teacher spread0.196 · 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 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

Citations4
Published2024
Admission routes2
Has abstractyes

Explore more

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