Mixed-Signal-Controlled Flyback-Transformer-Based Buck Converter With Improved Dynamic Performance and Transient Energy Recycling
Bibliographic record
Abstract
This paper introduces a practical modification of the buck converter and a complementary controller that are well suited for point of load applications with highly dynamic loads. The presented flyback-transformer-based buck (FTBB) converter has faster transient response than the conventional buck, allowing for a reduction in the output capacitance without penalty in the size of the magnetic core. During heavy-to-light load transients, the FTBB converter also recycles excess energy stored in the magnetic component, providing a useful energy savings mechanism. In this modification, the conventional buck inductor is replaced with the primary winding of the flyback transformer, an extra switch, and a set of small auxiliary switches on the secondary side. During heavy-to-light load transients, the inductor current is steered away from the output capacitor to the input port, achieving both energy recycling and savings due to reduced voltage overshoots. The light-to-heavy transient response is improved by reducing the equivalent inductance of the primary transformer winding to its leakage value. A mixed-signal current-programmed mode controller regulates operation of the converter. The controller provides minimum output voltage deviation and ensures seamless transitions between different operating modes. The performance of the FTBB converter is verified with a 6-to-1-V, 3-W, 390-kHz experimental prototype. In comparison with an equivalent buck converter, the experimental system has about three times smaller maximum output voltage deviation, allowing for the same output capacitor reduction and, for frequently changing loads, about 7% decrease in power losses.
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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 | 0.001 |
| 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 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".