Design of passive power filters for a three-phase semi-controlled rectifier with typical loads
Bibliographic record
Abstract
This paper presents the design and simulation of AC and DC passive power filters for a three-phase thyristor-based rectifier. On the source side, the purpose is to achieve harmonic current suppression and reactive power compensation and on the load side, to eliminate the DC voltage ripple. After a brief review of most common filtering methods, the paper emphasizes on the necessity of passive techniques for high power applications. The AC filter consists of RLC branches tuned to harmonic frequencies, while the DC filter inserted at the rectifier output includes a series inductor and shunt connected resistor and capacitor. Matlab/Simulink is the software used for building and simulating the filter models, in the two cases of DC inductive and capacitive loads. The results obtained before and after filtering demonstrate its efficiency in improving the waveforms quality on both AC and DC sides, and therefore in the optimization of power consumption.
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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".