Multi-Level Voltage Source Parallel Inverters using Coupled Inductors
Bibliographic record
Abstract
Inverter legs can be connected in parallel using coupled inductors to produce multi-level PWM output voltages with PWM frequencies higher than the inverter switching frequency. Techniques are described for connecting the coupled inductor windings to parallel inverter legs that lower the effective series inductance at the system output terminals. High-quality multi-level PWM output voltages result with low fundamental voltage drops across the output impedance. The proposed PWM technique can be implemented using either multi-limb or a modular system where individual magnetic cores are connected to each inverter leg. The low output impedance means that high-frequency fundamental voltages can be generated using a relatively low carrier to fundamental ratio. Carrier/reference signal manipulation techniques are presented that improve the quality of the multi-level output voltages and that can be easily implemented in digital hardware. The inverter structure is presented for a 3-phase ac output that can be used as a motor drive system or a utility connected PWM rectifier. For a 3-phase system, 7 and 9 level line voltages can be obtained using 3 of 4 inverter legs per phase respectively. The operation of the system is demonstrated using simulations and experimental results.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".