A Novel Bidirectional Single-Phase Fifteen-Level Buck-Boost Rectifier for Power Factor Correction with Reduced Switch Count
Bibliographic record
Abstract
This paper introduces a novel bidirectional single-phase buck-boost rectifier for power factor correction that generates a fifteen-level voltage at its input. This multilevel rectifier as a high-power density topology with a reduced number of switches is based on the packed U-cell (PUC) converter. In this fifteen-level PUC-based rectifier (PUC15-rectifier), triple output terminals are available to supply various de loads at different voltages without requiring any dc-side passive filter. Besides, it is connected to the grid merely through a reduced size inductive filter. Generating a fifteen-level voltage waveform decreases the harmonic content of both voltage and current in the PUC15-rectifier input that makes it a reliable candidate for various industrial applications with a high-power quality performance. As PUC15-rectifier accurate operation depends on achieving four main control objectives and considering its dynamic model, a finite control-set model predictive control (FCS-MPC) method is also designed. The overall performance of the proposed PUC15-rectifier is verified by extensive simulation results.
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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) | 0.005 | 0.002 |
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".