High power factor single stage flyback converter for dimmable LED driver
Bibliographic record
Abstract
Single stage Flyback converter with active power factor correction (PFC) function built-in is very popular for low power LED driver application. However, a universal driver design (120V∼277Vac wide input) for meeting PF>0.90 and THD<20% at 50% of maximum output power remains very challenging using peak current transition mode (PCTM) PFC control. Therefore, in this paper, a novel and practical scheme is presented for a single stage Flyback LED driver to achieve high power factor for universal input. Based on LED output feedback, the off-time is controlled to operate the Flyback converter in discontinuous conduction mode (DCM) to realize high PF. The control implementation can be adapted to existing popular PCTM PFC controller and due to the secondary side current regulation, it is suitable for dimmable LED driver application. A 22W dimmable LED driver is prototyped to verify this scheme and at 10W output power, PF>0.90 and THD<20% are achieved for the universal input voltage range.
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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) | 0.001 | 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".