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Record W2302888952 · doi:10.1109/tia.2015.2505666

Modeling and V/F control of a Hysteresis Interior Permanent Magnet Motor

2015· article· en· W2302888952 on OpenAlexafffund
S. F. Rabbi, M. Halloran, T. LeDrew, A. Matchem, Mohammad Azizur Rahman

Bibliographic record

VenueIEEE Transactions on Industry Applications · 2015
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties and Applications
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsHysteresisRotor (electric)MagnetControl theory (sociology)Materials scienceSynchronous motorMagnetic hysteresisEngineeringMechanical engineeringComputer sciencePhysicsElectrical engineeringMagnetic fieldCondensed matter physicsControl (management)Magnetization

Abstract

fetched live from OpenAlex

A hysteresis interior permanent-magnet (IPM) motor is a solid-rotor self-starting synchronous motor. Its rotor has a hysteresis ring made of composite material with high degree of hysteresis energy per unit volume. The Neodymium Boron Iron (Nd-B-Fe) magnets are buried inside the hysteresis ring. This paper presents the analytical modeling of a hysteresis IPM motor to investigate its starting and synchronization capability for different loading conditions. A V/F controller has been designed to operate the motor at variable speeds. Simulations have been carried out to obtain the run-up responses of a three-phase four-pole 208 V, 2.5 kW hysteresis IPM motor. Simulation results are presented and analyzed in this paper. Experimental investigations have been carried out for the same 2.5-kW motor. Both the simulation and experimental results are presented in this paper.

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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.254
Teacher spread0.220 · 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

Citations11
Published2015
Admission routes2
Has abstractyes

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