Wavelet Modulation With an Optimized Resolution-Level to Minimize Common-Mode Voltages in Variable Frequency Induction Motor Drives
Bibliographic record
Abstract
This article presents the employment of the wavelet modulation with an optimized resolution-level to minimize the common-mode voltage (CMV) in variable frequency induction motor drives. The optimization of the resolution-level approach allows adjusting the duration and location of eachonswitching pulse generated by the wavelet modulation technique. Such adjustments can significantly reduce the energy allocated in the harmonic contents of stator voltages, thus minimizing the instantaneous unbalance in the$\textbf{3}\boldsymbol{\mathbf{\phi}}$stator voltages. As a result, the CMV and current can be minimized without additional filtering circuits and/or modification of the power converters comprising the drive. The proposed method to minimize the CMV is experimentally tested using a 10hpinduction motor frequency drive under various operating conditions. Test results show that optimizing the resolution-level has negligible impacts on control actions to operate the motor and/or dc link voltage.
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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 | 0.001 |
| 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 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".