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Record W2127242568 · doi:10.1109/ccece.2007.290

PWM Current Controllers for a Family of 3-Switch Utility Rectifier Topologies

2007· article· en· W2127242568 on OpenAlexaff
Nouman Noor, Jeffrey Ewanchuk, John Salmon

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSilicon Carbide Semiconductor Technologies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNetwork topologySawtooth wavePulse-width modulationComputer scienceTotal harmonic distortionRectifier (neural networks)Topology (electrical circuits)Control theory (sociology)Current (fluid)Electronic engineeringController (irrigation)HarmonicsEngineeringVoltageElectrical engineeringControl (management)Telecommunications

Abstract

fetched live from OpenAlex

Unipolar pwm current control techniques are presented for a family of 3-switch utility UFPF rectifier topologies operated with a low current THD. This paper presents preliminary results of a research program intended to compare the performance of 2-current and 3-current controllers, using either hysteresis control or a sawtooth reference signal to achieve synchronized switching. The quality of the current waveshape generated are to be examined under balanced and unbalanced ac supply conditions, together with several techniques required to improve the current waveshaping. This paper presents the switching logic tables required to implement the 2-current controller for both the delta and star connected switch topologies. A basic switching topology cell is used as a reference for defining the switching functions. Spice simulation results are used to demonstrate the preliminary results for the proposed controllers.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.040
GPT teacher head0.289
Teacher spread0.248 · 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

Citations4
Published2007
Admission routes1
Has abstractyes

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