Three‐phase fixed‐frequency interleaved (LC)(L)‐type series‐resonant converter with a capacitive output filter
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Bibliographic record
Abstract
A three‐phase interleaved (LC)(L)‐type dc–dc series‐resonant converter with a capacitive output filter using fixed frequency control is proposed. The converter operations for different modes during different intervals have been presented using the operating waveforms. The converter is analysed using the approximate analysis approach, and the design procedure is illustrated with a design example. PSIM simulation results for the designed converter are given for load and input voltage variations. It is shown that the converter operates in zero‐voltage switching (ZVS) at the minimum input voltage and for different load conditions. On the other hand, at the maximum input voltage from full load to light load, leading switches operate with ZVS, whereas lagging switches operate with zero‐current switching (ZCS).
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it