Forward converter using a resonant auxiliary circuit to provide soft‐switching and reset the magnetic core
Bibliographic record
Abstract
Abstract In this paper, a new ZVT forward converter is presented in which the third winding of the forward converter is utilised to transfer power from the input to the output, recover the energy of the leakage inductance and snubber capacitance, and also provide ZVS condition for the converter switch. In the proposed converter, the main switch is turned ON and OFF under ZVS condition, and the auxiliary switch operates under ZCS condition. Besides, all the diodes are turned OFF under ZCS condition, and their reverse recovery losses are alleviated. Moreover, in the proposed converter, the voltage stress of the auxiliary switch is limited to the input voltage. As a result, the efficiency is improved. Since both converter switches and the input voltage share the same ground, no isolated gate driver is required in the implementation of the introduced converter. Also, due to the almost flat efficiency curve of the proposed converter, it is suitable for applications where the load range is wide. The proposed converter analysis, operating principals and design considerations are discussed in this paper, and the converter performance is justified by the implementation results from a 240 W prototype converter.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".