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Record W4293812116 · doi:10.1109/tpel.2022.3203055

Novel Soft-Switched Three-Phase Inverter With Output Current Ripple Cancellation

2022· article· en· W4293812116 on OpenAlex
Snehal Bagawade, Majid Pahlevani, Praveen Jain

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsRippleInverterCapacitorTopology (electrical circuits)Electronic engineeringInductorComputer scienceControl theory (sociology)VoltageElectrical engineeringEngineering

Abstract

fetched live from OpenAlex

A novel three-phase dc–ac full-bridge soft-switched inverter topology is proposed in this article that provides an ultralow ripple output current. The proposed circuit utilizes a passive filter that comprises a transformer, an inductor, and a capacitor for achieving soft switching and output current ripple cancellation. Zero-voltage switching (ZVS) is achieved at turn <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</small> time instant for all the switches in the proposed circuit. The magnitude of ZVS current is optimized throughout the line cycle by the application of the variable frequency modulation technique. In addition to soft switching, an ultralow ripple output current is achieved due to the current ripple cancellation property of the proposed circuit. The output current ripple cancellation is achieved by combining the inverter current with an additional high-frequency ripple current generated by the passive filter. The soft-switched inverter operation and inherent current ripple cancellation achieved by the proposed circuit, result in a high power conversion efficiency. Theoretical analysis and the improvements in inverter performance presented in this article are validated through the experimental verification of the proposed converter topology using a <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathbf{600\text{-}W}$</tex-math></inline-formula> lab prototype.

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.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
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 integrity0.0000.001
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 head0.230
Teacher spread0.219 · 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