A Discrete Selective Harmonic Elimination Formulation With Common-Mode Voltage Elimination Ability
Bibliographic record
Abstract
Common-mode voltage (CMV) is harmful to high-power converter-fed drive systems, thus actively suppressing the CMV that is of great significance. Compared with CMV reduction, CMV elimination is a better choice as it can totally avoid the influence of CMV. In this letter, a discrete selective harmonic elimination (SHE) formulation with CMV elimination ability is proposed, which uses output voltage levels as variables to be optimized instead of switching angles as in conventional SHE models. In this formulation, the optimization objective is low-order harmonic elimination, while CMV elimination is used as a constraint. The output result is the complete full SHE- pulsewidth modulated waveform over one fundamental period, where selected low-order harmonics and CMV have both been eliminated. Experimental results verify the effectiveness of the proposed formulation, and some comparison results are also provided.
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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 | 0.001 |
| 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".