Minimum conduction loss ZVS control for buck-type active filter operating as decoupling circuit
Bibliographic record
Abstract
It is becoming a useful and favorable trend to remove unreliable E-caps from the single-phase AC-DC converters which are being widely used in renewable energy applications and energy storage systems, without letting the low frequency power penetrating into the DC-side. Active filter is an attractive solution for this. Since active filter processes a major part of power, its performance affects the performance of the converter. Therefore, it is important that it operates efficiently for a wide range of operation. A minimum conduction loss ZVS control is proposed for buck-type active filter, which can be used across the DC-link of two-stage converters or across the DC side of the single-stage AC-DC converters. The control minimize the conduction losses for the buck active filter as well as obtaining ZVS for all the switching instants. Loss comparison with hard-switched control and other ZVS control methods are presented and show the effectiveness of the proposed method. Simulation and experimental results are presented.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".