A new digital adaptive voltage positioning technique with dynamically varying voltage and current references
Bibliographic record
Abstract
A digital adaptive voltage positioning (Digital AVP) technique with fast transient response for voltage regulators (VRs) is proposed in this paper. In this proposed digital control architecture, two digital-to-analog converters (DACs) are used instead of analog-to-digital converters (ADCs), thus significantly reducing system complexity. Both the voltage and current references are changed dynamically at DAC clock frequency resulting in fast transient response. Different from other control methods (the output voltage tracks the voltage reference), the generated voltage reference is always trying to track the output voltage. A straightforward control law is used, which does not require compensator. Moreover, the proposed control technique automatically avoids the limit cycle by automatic dithering method. Further, it allows the use of non-linear control methods which significantly improve transient response speed. Finally, a two-phase 12V-to-1V, 40 A, 250 kHz synchronous buck converter with the proposed digital controller was designed to verify the theoretical analysis by simulation and experimental results.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".