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Record W3208199104 · doi:10.1109/tte.2021.3124560

Coupled Magnetic Circuit-Based Design of an IPMSM for Reduction of Circulating Currents in Asymmetrical Star–Delta Windings

2021· article· en· W3208199104 on OpenAlexaff
Shruthi Mukundan, Himavarsha Dhulipati, Ze Li, Mohammad Sedigh Toulabi, Jimi Tjong, Narayan C. Kar

Bibliographic record

VenueIEEE Transactions on Transportation Electrification · 2021
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsHarmonicsElectromagnetic coilTorque rippleControl theory (sociology)TorqueRotor (electric)VoltageHarmonic analysisPhysicsEngineeringComputer scienceElectrical engineeringDirect torque controlElectronic engineeringInduction motor

Abstract

fetched live from OpenAlex

Combined star (Y)–delta (Δ) windings suffer from undesirable circulating currents resulting in increased winding losses and saturation leading to demagnetization in permanent magnet synchronous machines (PMSMs). The main causes for these currents are the induced voltage harmonics from the winding configuration and rotor saliency. Thus, this paper presents a novel coupled winding function and magnetic circuit model to accurately model the winding harmonics and rotor saliency in Y–Δ wound PMSMs. Unlike existing winding harmonic analysis methods such as winding factor approach and star of slots, the developed winding function incorporates the effect of winding asymmetry. Although asymmetrical Y–Δ windings suffer from higher circulating currents, such configurations result in higher torque, efficiency and reduced torque ripple when compared to conventional symmetrical windings. Therefore, using the proposed magnetic circuit model incorporating rotor saliency, an interior PMSM (IPMSM) rotor structure is developed for reduced circulating currents without compromising the traction performance. Experimental results are presented to highlight reduced circulating currents in terms of induced voltage harmonics, machine saliency and to illustrate its effect on the machine’s superior traction performance capability such as improved rated torque, efficiency, and reduced torque ripple, winding losses and magnetic saturation.

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 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 score0.714
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.026
GPT teacher head0.244
Teacher spread0.218 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations9
Published2021
Admission routes1
Has abstractyes

Explore more

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