Design Optimization of Power Electronic Converters in More Electric Aircraft
Bibliographic record
Abstract
System reliability and design optimization are the main concerns in power electronic converters of more-electric aircraft (MEA). The dual active bridge (DAB) is the topology usually considered to link the HVDC bus to the LV network onboard the aircraft. This paper proposes a design and control algorithm that maximizes the power transmission efficiency by minimizing the transformer RMS current while considering the converter parasitic elements in the process. The optimization methodology includes two layers of optimization through a genetic algorithm (GA); optimization of transformer turns ratio and DAB inductor and phase angle optimization by using triple phase shift (TPS) control mode. The high-turn ratio of the isolating transformer utilized in this application results in a considerable effect on the converter performance. The parasitics effect is discussed and FEA simulations are carried out in Ansys Q3D from which the stray inductances are extracted and fed to the optimization algorithm.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".