Design and Experimental Results of Three- Phase Interleaved DCM Buck-Boost-Derived PFC Converter for MEA and Comparison with Single-cell Converter
Bibliographic record
Abstract
In more electric aircrafts (MEAs), the synchronous generators are connected directly to the turboengine to reduce the weight of an empty aircraft which in turn resulted in constant voltage variable frequency (CVVF) AC supply bus. In addition, the MEA has adopted high voltage DC bus in its power system to cater the various categories of load used by aircraft. Therefore, the MEA requires AC-DC power converters to convert CVVF AC to constant DC. Hence, a three- phase interleaved buck-boost-derived power factor correction converter designed for discontinuous current conduction mode in order to achieve unity power factor (UPF) operation for wide range supply frequency of MEA. The benefits of the proposed interleaved converter are higher power density, efficiency, and reliability. An analytical comparison has been made with singlecell converter to demonstrate the advantages of the proposed interleaved converter and the relevant results has been presented. The experimental results from a 2.0 kW laboratory concept-proof hardware prototype have been shown to validate the proposed converter UPF operation for wide range supply frequencies. A low input current THD of 2.7% and a maximum efficiency of 96.3% are recorded from the developed prototype.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".