A large signal dynamic model for single-phase AC-to-DC converters with power factor correction
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Bibliographic record
Abstract
This paper presents a model for average current control that can be applied to DC-to-DC converters and AC-to- DC power factor correction (PFC) circuits. The proposed DC-to-DC model consists of two parts: 1) an averaged DC-to-DC converter topology with all the switching elements replaced by dependent sources 2) an average current control scheme with a pulse width modulation (PWM) model, which determines the duty cycles. Similarly, the AC-to-DC PFC model is obtained by combining an averaged boost converter model with the PFC control scheme using average current control. To verify the proposed model, simulated results were compared to experimental waveforms. The experimental results demonstrate that the model can correctly predict the steady-state and large signal dynamic behavior for average current controlled DC-to-DC and AC-to-DC PFC converters.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it