Optimal low-switching frequency pulsewidth modulation of dual modular multilevel converter for medium-voltage open-end stator winding induction motor drive
Bibliographic record
Abstract
The first dual multilevel converter (MLC) topology for medium-voltage (MV) open-end stator winding induction motor (OESW-IM) drives was proposed in 1990s. Till now, MLC topologies to generate three-level, five-level, seven-level, and nine-level voltage waveforms for OESW-IM drives have been proposed. This paper proposes a new topology for OESW-IM drives based on modular multilevel converter (MMC) topology. The control requirements of the proposed topology are as follows: balancing floating capacitor voltages, removal of common-mode current components in stator current, and low-switching frequency operation with nearly sinusoidal machine stator currents. In this paper, synchronous optimal pulsewidth modulation (SOP) has been improved to satisfy the control requirements of the proposed topology. The proposed method has been validated using a low power experimental setup of dual three-level MMC.
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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 | 0.000 | 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".