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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 OpenAlex
S. F. Rabbi, M. Halloran, T. LeDrew, A. Matchem, Mohammad Azizur Rahman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.644
Threshold uncertainty score0.508

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 head0.034
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