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Record W2614918060 · doi:10.1109/apec.2017.7931188

Power decoupling method for single-phase buck-boost inverter with energy-based control

2017· article· en· W2614918060 on OpenAlexaff
Shuang Xu, Liuchen Chang, Riming Shao, A.R. Haider Mohomad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsDecoupling (probability)RippleDuty cycleControl theory (sociology)CapacitorInverterAC powerVoltageComputer scienceInductorPower controlAutomatic frequency controlPower (physics)EngineeringElectrical engineeringPhysicsControl (management)Telecommunications

Abstract

fetched live from OpenAlex

This paper presents a single-phase differential buck-boost inverter with an energy-based control, which adapts to various DC input voltages and achieves active power decoupling without additional devices. The proposed energy-based control technique calculates the duty cycles of the switches according to the energy demanded by the load. To achieve active power decoupling, the double line-frequency pulsating power is controlled to deliver to the output capacitors instead of to the DC side. An active damping control method is also employed with the energy-based control to suppress the voltage and current pulsation at the resonant frequency. Simulation and experimental results show that the proposed control technique achieves successful power decoupling with substantial reduction of second-order component in the DC current, and effectively mitigates the ripple current at the resonant frequency.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.905
Threshold uncertainty score0.880

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 head0.012
GPT teacher head0.272
Teacher spread0.259 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations11
Published2017
Admission routes1
Has abstractyes

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