Enhanced Interleaved PWM Scheme with Flux Compensation for Three-Parallel Connected Inverters
Bibliographic record
Abstract
A pulse width modulation (PWM) scheme is described for a 3-phase voltage source converter (VSC). The VSC uses three inverter legs in each phase, which are connected in parallel using coupled inductors with crossed coupled windings to lower the series output inductance. The parallel connected inverters are controlled with three 120° phase-shifted carriers. Instead of changing carriers on the $\pm 1/3$ crossover of the 3-phase reference signals to improve the quality of the PWM line voltages, the reference signals are modified. This modulation scheme generates high-quality 4 -level phase and 7 level PWM line voltages without generating flux jumps in the coupled inductors. In addition, the PWM voltage step is ${\mathrm {V_{dc}}}/3$ and the frequency of the PWM line voltage is six times greater than the switching frequency, which can easily be filtered with a small filter inductor. The modulation scheme significantly reduces the cross-sectional area, weight, and material cost of the magnetic cores of the VSC, which is suitable for mobile applications such as aerospace and electric vehicles where weight-light magnetics is required. The enhancement of the PWM scheme is appreciated with lower current THDfand load voltage harmonic volt-seconds. The feasibility of the modulation scheme is confirmed with PLECS simulation and experimental results of a 10 kW(300 Vdc, 208 V/28 A) 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".