Generalised overmodulation approach applied to symmetrical and asymmetrical cascaded multilevel converters with faults on the converter power cells
Bibliographic record
Abstract
In this work, a generalised hybrid overmodulation strategy for symmetrical and asymmetrical cascaded multilevel converters with faulty cells is proposed. This approach allows the converter to operate with a wider range of modulation indexes even with faults on the power cells, compared with the case where just operation on the linear region is considered. As a result, the operating range of the converter can be expanded. The proposed algorithm simplifies the modulation, as it does not need to calculate and store offline multiple trajectories for the voltage reference, as usually is the case with overmodulation strategies; this task is performed online. Due to the nature of cascaded multilevel converters, two kinds of overmodulation can happen during faults on the converter power cells, which are discussed in this paper. Then, solutions are presented in order to deal with all of these operating conditions. Experimental results with a hardware‐in‐the‐loop platform are given to verify and validate the theoretical analysis.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".