Improving the operation of 3-phase diode rectifiers using an asymmetrical half-bridge DC-link active filter
Bibliographic record
Abstract
The PWM asymmetrical half-bridge is used to control the output current of a three-phase diode rectifier with a capacitor smoothed output voltage. The controlled-current function provided by the bridge improves the performance of the rectifier by lowering the low frequency ripple in the diode rectifier output current and by maintaining a balanced AC supply current when the AC supply voltage is unbalanced. The two-switch asymmetrical bridge can be designed with low per-unit voltage ratings, typically 15%, and can guarantee equal current sharing between parallel rectifiers. The higher conduction losses introduced by the bridge is offset by the improved diode rectifier performance, the low voltage devices used in the bridge, and the use of smaller L-C filter components. Balanced UPF sinusoidal supply currents can be obtained by using a three-phase bi-directional Y-switch and two asymmetrical half-bridges to separately control the output currents at both the diode rectifier output terminals. The asymmetrical bridge switches are exposed to only half the rectifier output voltage and the three-phase Y-switch has very low rms per-unit current ratings.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".