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Single-Phase Bridge Inverter with Modified LCLLC Filter

2025· article· en· W4413146873 on OpenAlexaff
Shuang Xu, Shufeng Zhang, Haitham Elmasry, Liuchen Chang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsInverterComputer scienceBridge (graph theory)Filter (signal processing)Electronic engineeringControl theory (sociology)Electrical engineeringEngineeringVoltageArtificial intelligence

Abstract

fetched live from OpenAlex

High-order passive filters are commonly used in single-phase bridge inverters to mitigate high-frequency harmonics generated by pulse width modulation (PWM), owing to their compact size and lower cost. This paper presents a modified LCL-LC filter with an LC circuit paralleled with the inductor of LCL filter to attenuate current harmonics at the switching frequency. Compared to the LLCL, LCCL, and LCLLC filters, which incorporate a resonant LC trap, the modified LCL-LC filter utilizes the inductor of the LCL filter as part of the trap loop, known as trap-LLC or LLC trap loop, thereby further reducing the required values of the additional LC circuit. A parameter design method based on the frequency choice of LCL filter resonance, LLC trap resonance, and LC resonance is presented. The modified LCL-LC filter is applied and compared to a 12 kW single-phase bridge inverter with LCL filter in MATLAB/SIMULINK. The simulation results demonstrate that the modified LCL-LC filter achieves better harmonic performance than the conventional LCL filter with $\mathbf{4 0 \%}$ reduction in the filter inductance.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
Threshold uncertainty score0.320

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 head0.023
GPT teacher head0.239
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2025
Admission routes1
Has abstractyes

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