High-Quality PWM Scheme for High-Speed Electric Drives
Bibliographic record
Abstract
A PWM scheme is presented for 3-phase high-speed electric drives using coupled inductors with a very low series output inductance that generate multi-level output voltages with an elevated PWM frequency. Two inverter legs are used in each phase, connected in parallel using coupled inductors with magnetic cross-coupling. The PWM switching of the inverter legs are controlled using carrier signals 180 apart. Rather than changing these carrier signals on the zero crossovers of the 3-phase reference signals to improve the PWM line voltage, the reference signals are modified instead: enhanced PWM control. This approach allows the use of compensation signals to eliminate flux jumps in the magnetic cores commonly associated with carrier switching. Hence, the flux in the magnetic cores follows predictable patterns, with the peak flux reduced considerably. This, in turn, allows the inductor design to be reduced in size and weight. The enhanced PWM control described is also shown to reduce the load current THDf and the load voltage harmonic volt-seconds. The feasibility of the enhanced PWM control is verified using both simulations and experimental results of a 10kW (208V/28A, 300Vdc) laboratory prototype.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".