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Record W2947319477 · doi:10.1109/apec.2019.8721855

Current Programmed Mode Control of Multi-Level Flying Capacitor Converter Near Zero-Ripple Current Region

2019· article· en· W2947319477 on OpenAlexaff
Liangji Lu, Aleksandar Prodić, Giacomo Calabrese, Giovanni Frattini, Maurizio Granato

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRippleInductorCapacitorDuty cycleCurrent (fluid)ConvertersWaveformVoltageElectrical engineeringControl theory (sociology)EngineeringPhysicsComputer scienceControl (management)

Abstract

fetched live from OpenAlex

This paper explores the challenges and introduces a solution for near zero-ripple current region operation of multilevel flying capacitor (ML-FC) converters, operating in peak and valley current programmed mode (CPM). Around the zero-ripple region, the triangular inductor current ripple waveform is modified to be trapezoidal using a state machine. Seamless transition between peak and valley is desirable to ensure symmetrical stable operation below and above the duty-cycle yielding zero-ripple current. In both cases, flying capacitor voltage inherent stabilization is achieved. The investigated ideas are verified with a three-level FC buck converter with 5 V output operating at 500 kHz nominal switching frequency near 50% duty-cycle, the zero-ripple current region.

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 score0.984
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 head0.042
GPT teacher head0.258
Teacher spread0.216 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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