A hardware-efficient programmable two-band controller for PFC rectifiers with ripple cancellation circuits
Bibliographic record
Abstract
This paper introduces a hardware-efficient controller for rectifiers with power factor correction (PFC) that feature circuits for cancellation of the output voltage ripple at two times the line frequency. It provides simultaneous and independent regulation of the ripple amplitudes and dc voltage values for both the PFC stage and the cancellation circuit, allowing for the tradeoff management between the overall system volume and its efficiency. Unlike previous solutions, the controller does not require costly components for obtaining information about the output current, converter parameters, or phase and frequency of the voltage ripple. These advantages are obtained through the hardware sharing and use of a novel two-band compensator. The effectiveness of the controller is demonstrated on a 45 W programmable-output flyback based PFC rectifier prototype with a buck-boost based ripple cancellation circuit. The results demonstrated achieves a 1% ripple for the full range of operating conditions with maximum of 90% ripple reduction while utilizing a 500uF output capacitor for PFC, providing high power factor and low harmonic distortion.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".