Digitally Controlled Current-Mode DC–DC Converter IC
Bibliographic record
Abstract
The main focus of this paper is the implementation of mixed-signal peak current mode control in low-power dc-dc converters for portable applications. A DAC is used to link the digital voltage loop compensator to the analog peak current mode loop. Conventional DAC architectures, such as flash or ΔΣ are not suitable due to excessive power consumption and limited bandwidth of the reconstruction filter, respectively. The charge-pump based DAC (CP-DAC) used in this work has relatively poor linearity compared to more expensive DAC topologies; however, this can be tolerated since the linearity has a minor effect on the converter dynamics as long as the limit-cycle conditions are met. The CP-DAC has a guaranteed monotonic behavior from the digital current command to the peak inductor current, which is essential for maintaining stability. A buck converter IC, which was fabricated in a 0.18 μm CMOS process with 5 V compatible transistors, achieves a response time of 4 μs atfs=3 MHz andVout=1 V, for a 200 mA load-step. The active area of the controller is only 0.077 mm2, and the total controller current-draw, which is heavily dominated by the on-chip senseFET current-sensor, is below 250 μA for a load current ofIout=50 mA.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".