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Record W2744241060 · doi:10.1109/iemdc.2017.8002207

Induction motor emulation including main and leakage flux saturation effects

2017· article· en· W2744241060 on OpenAlex

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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsConcordia University
Fundersnot available
KeywordsInduction motorEmulationControl theory (sociology)Saturation (graph theory)Magnetic flux leakageMagnetic fluxLeakage (economics)Flux (metallurgy)TorqueTransient (computer programming)Computer scienceEngineeringPhysicsVoltageMagnetic fieldMagnetMaterials scienceElectrical engineeringMathematics

Abstract

fetched live from OpenAlex

A three-phase induction motor emulator based on a six-switch power converter is demonstrated. The conventional model of the induction machine with constant parameters does not represent accurately the performance of this machine with severe transients such as direct online startup and loading conditions. Hence, magnetic saturation effects should be considered. Experimental procedures to determine the machine's leakage and main flux saturation characteristics are achieved. The predicted results using the modified model considering and ignoring the flux saturation effects are compared with experimental results. The model which considers the magnetic saturation effect in both flux paths results in more accurate transient responses. Besides, a proportional-resonant current controller in the abc-natural frame is designed and implemented. The dynamic response of the induction motor emulator during direct online startup and loading transients show the effectiveness of using the developed emulator to resemble closely a real induction motor.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.334

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 communication0.0000.001
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 head0.244
Teacher spread0.230 · 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

Quick stats

Citations13
Published2017
Admission routes1
Has abstractyes

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