Two stage resonant inverter for ac distributed power supply - topology featured with zero voltage switching
Bibliographic record
Abstract
This paper describes the topology aspects of a two-stage high frequency resonant inverter consisting of a buck converter and a half bridge series/parallel resonant inverter. The resonant inverter has the advantages of better waveform quality, zero voltage switching adaptability to both inductive and capacitive load, and high efficiency. Most importantly, the phase angle of this resonant inverter can be controlled independently from the voltage magnitude control, allowing for multiple module operation in parallel. The design of high efficiency, fast dynamics first stage converter is the key of the whole system performance. In this paper, a zero voltage transition (ZVT) based two-switch buck converter is proposed. By using an auxiliary circuit consisting of auxiliary switch, inductor and capacitor, the current transition from the lower switch to the upper switch can be accomplished with zero voltage. Prior to turning on the upper switch, the auxiliary circuit Is turned on with zero current switching. The upper switch flows negative current as the auxiliary circuit current exceeds the buck inductor current, therefore the anti-parallel diode conducts before the gate signal applies to the upper switch. The lower switch has zero voltage switching naturally. The interaction of the ripples of the fist stage buck converter with the second stage output voltage harmonics of the inverter Is also investigated.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".