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Record W2152305440 · doi:10.1109/ias.2004.1348385

Starting and vector control of series-connected wound-rotor induction motor in super synchronous mode

2004· article· en· W2152305440 on OpenAlexaff
Essam M. Rashad, T.S. Radwan, M.A. Rahman

Bibliographic record

VenueConference Record of the 2004 IEEE Industry Applications Conference, 2004. 39th IAS Annual Meeting. · 2004
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsWound rotor motorControl theory (sociology)Induction motorVector controlStatorSynchronous motorRotor (electric)Direct torque controlTorqueAC motorComputer scienceMagnetomotive forceEngineeringControl engineeringPhysicsElectric motorVoltageControl (management)Electrical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

When the stator and rotor windings of a wound rotor induction machine are connected in series, electromechanical energy conversion is possible provided that the phase sequence of the rotor magnetomotive force is in the reverse sense to that of the stator. As a motor, the series-connected induction motor (SCIM) can operate at exactly double the synchronous speed for stable ranges of operation. The conventional super synchronous SCIM suffers from the absence of starting torque, and it has stability problems. In order to overcome the inherent starting and operating problems a novel vector control based technique has been proposed to achieve self-starting and stable operation for the SCIM. It has been shown both analytically and experimentally that the SCIM has higher torque capabilities compared to those obtained from a typical wound rotor 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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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

Citations10
Published2004
Admission routes1
Has abstractyes

Explore more

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