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Record W2032476634 · doi:10.1109/apec.2013.6520217

A new decoupled control scheme for a ZVS dual full-bridge phase-shifted DC/DC converter with two degrees of freedom

2013· article· en· W2032476634 on OpenAlexaff
Amish A. Servansing, Majid Pahlevaninezhad, Praveen Jain

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsControl theory (sociology)Controller (irrigation)Boost converterElectronic engineeringComputer scienceForward converterVoltageBuck–boost converterMaximum power point trackingĆuk converterTopology (electrical circuits)EngineeringInverterElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper presents a novel control scheme for a two-bridge parallel-series DC/DC converter topology which enables it to regulate the DC-link voltage while tracking the maximum power point (MPP) of a photo-voltaic (PV) array. The intended application for this converter is power conditioning systems (PCS) of PV arrays used in hybrid renewable energy system architectures. The unique aspect of the proposed control scheme is that it decouples the input-side control variable from the output-side control variable providing two independent degrees of freedom to the converter. This renders the controller's design simpler and provides a more robust power conditioning system. The proposed converter is also able to achieve soft-switching over a wide range. A 2kW experimental prototype has been provided to validate the feasibility and performance of the converter. Theoretical analysis and experimental results prove that the converter is able to regulate the DC-link voltage and track the maximum power extracted from the PV array simultaneously.

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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.012
GPT teacher head0.239
Teacher spread0.227 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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