A Novel Inter-Modulated Floating Carrier Level Shifted PWM Method for PUC9 Converter
Bibliographic record
Abstract
In this paper, a new level shifted pulse-width modulation (LSPWM) method utilizing the suggested intermodulated floating carrier signals is proposed for the nine-level packed U-cell (PUC9) converter. In the proposed inter-modulated floating carrier LSPWM (IFC-LSPWM) technique, six floating carrier signals are modulated between the main eight level shifted fixed carriers to achieve active voltage balancing of the auxiliary capacitors. Hence, the staircase nine-level output voltage is generated by employing eight fixed level-shifted PWM carrier signals whereas six inter-modulated floating carrier signals provide voltage balancing of the auxiliary capacitors. Therefore, the proposed IFC-LSPWM method does not require any logic gates or comparison loops to provide voltage balancing of the auxiliary capacitors. Moreover, constant switching frequency operation and the reduced values of the auxiliary capacitors are obtained by employing the proposed IFC-LSPWM. The proposed IFC-LSPWM method is applied to the three-phase PUC9 converter. The provided experimental results verify the viability and performance of the proposed IFC-LSPWM method.
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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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".