Performance of low distortion 3-phase diode rectifiers using resonant harmonic correction networks
Bibliographic record
Abstract
Resonant harmonic correction networks are presented that lower the line current harmonic distortion of three-phase diode rectifiers using a capacitor smoothed DC rail. The basic harmonic correction network consists of line inductors and capacitors connected in parallel with the rectifier. This structure injects resonant current into the AC supply that makes the line current waveshape more sinusoidal. Several modifications can be made to this basic structure that improves the rectifier performance and lowers the size of the line inductors. A twelve-pulse rectifier configuration can be used to achieve a line current distortion less than 5% using line inductors rated at around 0.14 p.u. Thyristor networks can be used to improve the rectifier power factor over a wide load range. Split resonant inductors with an IGBT switch can be used to decrease the size of the line inductors and to regulate the output DC-rail voltage over a wide load range and as compensation for fluctuating supply voltages. Experimental and simulated based performance analysis is presented that uses a per-unit system for the resonant impedance and resonant frequency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 teacher head, 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".