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Record W3191258688 · doi:10.1109/jestpe.2021.3103273

Modified Carrier-Overlapped PWM With Balanced Capacitors and Eliminated Dead-Time Spikes for Four-Level NNPC Converters Under Low Frequency

2021· article· en· W3191258688 on OpenAlexafffund
Mingzhe Wu, Yunwei Li, Hao Tian, Yuzhuo Li, Kui Wang

Bibliographic record

VenueIEEE Journal of Emerging and Selected Topics in Power Electronics · 2021
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsConvertersCapacitorPulse-width modulationCompensation (psychology)Dead timeVoltageControl theory (sociology)Modulation (music)Electronic engineeringComputer scienceEngineeringElectrical engineeringPhysicsControl (management)

Abstract

fetched live from OpenAlex

Due to the lack of sufficient redundant states, four-level nested neutral-point clamped (4L-NNPC) converters suffer from severe flying capacitor (FC) voltage fluctuations under low fundamental frequencies, which restricts their applications in practice. To deal with this issue, a modified carrier-overlapped pulsewidth modulation (PWM) (COPWM) is proposed in this article, which could achieve zero average current flow through the two FCs over each carrier period. As a result, their voltages can be balanced naturally under steady states theoretically, and the low-frequency FC voltage fluctuation issue would no longer exist. In order to compensate for any nonideal factors in real industrial applications, an active control by dynamically adjusting the correspondence between carriers and switches is further applied for better control performance. A dead-time compensation scheme is proposed accompanied by this modified COPWM to eliminate the unexpected dead-time-induced voltage spikes of 4L-NNPC converters. The effectiveness of the proposed modified COPWM in regulating the FCs under low frequency and eliminating the dead-time-induced voltage spikes is verified by both 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 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: Empirical
Teacher disagreement score0.836
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 head0.012
GPT teacher head0.214
Teacher spread0.202 · 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

Citations19
Published2021
Admission routes2
Has abstractyes

Explore more

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