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Record W2133786780 · doi:10.1109/iecon.2005.1569070

A single stage three level resonant PFC AC/DC converter using combined phase-shift and frequency control

2005· article· en· W2133786780 on OpenAlexaff
Mohammed Agamy, Praveen Jain

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsBoost converterĆuk converterForward converterCapacitorCharge pumpInductorFlyback converterBuck–boost converterVoltageElectrical engineeringElectronic engineeringTopology (electrical circuits)EngineeringControl theory (sociology)PhysicsComputer scienceControl (management)

Abstract

fetched live from OpenAlex

This paper presents a new single stage three level resonant power factor correction AC/DC converter suitable for high power applications (in the order of kilowatts) with a universal input voltage range (90-265 Vrms). The proposed topology integrates a boost input current shaper with a half-bridge three-level LCC resonant DC/DC converter. The converter operation is controlled by means of a combination of phase-shift and frequency control. The phase-shift between the switch gate pulses is used to regulate the DC-bus voltage to a specified level for all loading conditions, whereas, frequency control is used to tightly regulate the output voltage. An auxiliary circuit is used in order to balance the voltage across the two DC-bus capacitors. The input inductor operates in discontinuous conduction mode. The effectiveness of the proposed converter is verified for a 2.3 kW, 500 kHz converter with an input voltage range of (90-265 Vrms) and a DC output voltage of 48 V.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0040.002

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 head0.038
GPT teacher head0.252
Teacher spread0.214 · 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 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
Published2005
Admission routes1
Has abstractyes

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