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Record W2947020509 · doi:10.1109/apec.2019.8722173

Analysis and Design of Three Phase Single Stage Isolated Flyback Based PFC Converter with a Novel Clamping Circuit

2019· article· en· W2947020509 on OpenAlexaff
Sivanagaraju Gangavarapu, Akshay Kumar Rathore

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsConcordia University
Fundersnot available
KeywordsClampingFlyback converterLeakage inductanceCapacitorBuck–boost converterClamperElectronic engineeringBoost converterPower factorFlyback transformerInductanceBuck converterForward converterTransformerSINADRElectrical engineeringEngineeringControl theory (sociology)Computer scienceVoltageMechanical engineering

Abstract

fetched live from OpenAlex

In this paper, a three phase isolated flyback based single stage power factor corrected (PFC) converter with a novel clamping circuit for aircraft application is presented. The steady state operation and design calculations of the converter are presented in detail. The converter is operated in discontinuous conduction mode (DCM) due to its inherent advantages such as PFC, reduced number of sensors, zero diode reverse recovery losses and zero current switching on. The converter requires only one sensor, which makes the system cost effective, more reliable and robust. By using the proposed clamping circuit, the transformers leakage inductance energy is captured successfully in a clamping capacitor, and subsequently a secondary 24V DC supply is derived by connecting a forward converter across the clamping capacitor. The performance of the converter is validated through the simulation and experimental results.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.217
Teacher spread0.193 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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