Single-Phase Bridge Inverter with Modified LCLLC Filter
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".