Performance Evaluation of Single Stage Three Level Resonant AC/DC Converter Topologies
Bibliographic record
Abstract
In this paper the performance of different three-level resonant converters is studied for single stage power factor correction operation. These converters are suitable for higher power ranges than the available single stage converters due to their high efficiency and reduced component stresses. All converters presented here are characterized by their ability to regulate the output voltage as well as the dc-bus voltage. This leads to obtaining lower voltage stresses, wide input voltage range, higher output power applications and improved efficiencies compared to existing single stage topologies. Due to the availability of more degrees of freedom in the presented converters, two types of control strategies can be used for this purpose: variable-frequency-PWM control and variable-frequency-phase-shift control. Three resonant converters were studied in this paper; where their performances as well as the applicability of the aforementioned control methods for each converter is compared. A 2.3 kW, 48 V converter with input voltage range of (90-265 Vrms) is used to study the performance of each case
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.005 | 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".