Analysis and Design of Soft Switched 3-phase Isolated Current-fed DC-DC Converter using LCC-T Resonance
Bibliographic record
Abstract
This paper proposes a 3 phase isolated current-fed DC-DC converter which uses a LCC-T resonant tank for acheiving efficient and compact designs. Conventional 3 phase DC-DC converter needs bulky external inductor in parallel with parasitic magnetizing inductance for soft switching. The proposed LCC-T resonant tank eliminates the need of bulky external inductance for soft switching. Also the proposed converter can generate high gains with low transformer turns ratio. With the help of LCC-T resonant tank the proposed converter can maintain ZVS of primary switches and ZCZV turn off of secondary diodes for all load conditions. Because of its compact structure, current sharing nature, proposed converter can be a competent model in medium power applications. This paper presents the steady state operation of converter, analysis and design of the converter. Proposed theory is verified through simulations performed in PSIM.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".