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Record W1917712239 · doi:10.1109/ecce.2015.7310115

Improved power quality opto-couplerless Cuk converter for flickerless LED lighting

2015· article· en· W1917712239 on OpenAlexaff
Somnath Pal, Bhim Singh, Ashish Shrivastava, Ambrish Chandra, Kamal-Al-Haddad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsĆuk converterPower factorTotal harmonic distortionCapacitorElectrolytic capacitorSwitched-mode power supplyTransformerElectrical engineeringLED lampElectronic engineeringBoost converterAC powerFilm capacitorVoltageEngineering

Abstract

fetched live from OpenAlex

This paper presents a single stage isolated Cuk converter for low power light emitting diode (LED) driver systems. An opto-couplerless feedback control using primary-side regulation technology is presented in discontinuous conduction mode (DCM). A complete analysis of the converter is carried out using pulse-frequency modulation technique. The primary focus of this work is to develop a cost effective solution for an LED driver with improved power quality and efficiency. For low power lighting, this work results in a maximum power factor (PF) of 0.99 and minimum total harmonic distortion (THD) in AC mains current of 3.37% over universal AC voltage. The proposed Cuk topology offers high efficiency and constant voltage-constant current (CV-CC) control. Moreover, for high efficiency, coupling capacitors at both sides of the transformer have been optimized to a film capacitor with low dissipation factor and long life as compared to commonly used electrolytic capacitors. A 27 W prototype with a converter efficiency of 88% has been developed to validate the proposed approach.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.028
GPT teacher head0.285
Teacher spread0.257 · 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 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

Citations13
Published2015
Admission routes1
Has abstractyes

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