High-power multi-modular matrix converters with sinusoidal input/output waveforms
Bibliographic record
Abstract
In high-power applications such as medium-voltage (MV) drives, multilevel voltage-source converters are widely used today. On the other hand, the study on matrix converters (MC) has primarily been limited to the low power range. Aiming to combine benefits from both multilevel structure and direct power conversion, this article investigates the topologies and operating principles of multi-modular matrix converters (MMMC). Built from three-input two-output matrix converter (3×2 MC) modules, two versions of MMMCs are presented and studied. Modulation schemes to synthesize sinusoidal waveforms on both ac sides of the converters are discussed in details. Featuring a modular design, relatively low switching frequency and use of low-voltage power devices, the presented MMMCs target higher power applications where four-quadrant operation and fast dynamic response are expected. The validity of the study is verified by simulation results.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".