Simplified Frequency-Domain Analysis of Improved Asymmetrical PWM Technique for DC-DC Resonant Converters
Bibliographic record
Abstract
The present work introduces a frequency domain analysis of an improved asymmetrical pulse-width modulation (I-APWM) scheme for dc-dc resonant converters. By adjusting both switching frequency and duty cycle, the improved APWM scheme has been shown to extend zero voltage switching (ZVS) range at light load conditions. However, the existing time-interval analysis proposed by authors results in non-linear transcendental ZVS conditions which are resource intensive to implement on a digital microprocessor. The proposed frequency analysis uses the Fourier series to establish simple analytical solutions that determine both switching frequency and duty cycle for ZVS operation. Necessary ZVS conditions have been established for a dc-dc LLC resonant converter using the derived analytical equations. Theoretical analysis is verified by an experimental prototype of a 300W/400V dc-dc LLC resonant converter operating over an input voltage range of 25-40V.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".