A Single-Stage Primary-Side-Controlled Off-line Flyback LED Driver With Ripple Cancellation
Bibliographic record
Abstract
Ripple cancellation LED driver can achieve flicker-free LED driving while maintaining high power factor, high efficiency, and low component cost. It is a very competitive solution compared to a conventional single-stage or two-stage LED driver design. In this paper, a primary-side-controlled ripple cancellation LED driver has been proposed. The voltages of the proposed LED driver are sensed at the primary side by transformer sensing windings. The LED current is also obtained by sensing the primary-side switching current. The entire control circuit is built on the primary side. All the advantages from the existing ripple cancellation LED drivers are maintained while achieving the primary-side control. Based on the proposed circuit, a potential integrated primary-side controller can be designed, which can significantly reduce the component cost and design complexity. A 30-W, 50-V, 0.6-A experimental prototype with a universal input voltage range has been built to verify the proposed LED driver.
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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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".