A 1V buck converter IC with hybrid current-mode control and a charge-pump DAC
Bibliographic record
Abstract
This paper presents an integrated dc-dc converter with an output voltage of 1 V for portable applications. A hybrid peak current-mode control-scheme is demonstrated, where the voltage-loop compensation is achieved in the digital domain, while the current-regulation loop has a more traditional analog implementation. The main contribution of this work is the novel DAC architecture, which was developed specifically to achieve fast transient-response without needing clock frequencies beyond fs, or expensive signal processing. Unlike the previous approach, based on an adaptive DeltaSigma DAC, the charge-pump (CP) DAC is capable of rapidly increasing the current-command in a single-cycle during load-steps. In addition to a low steady-state current-consumption of 3 muA, the CP-DAC has a guaranteed monotonic transfer characteristic and simplifies the overall system architecture. The resulting system solution achieves dynamic response comparable to state-of-the-art analog current-mode solutions, without using a power-hungry controller, or quantizing the inductor current. A custom IC, which was fabricated in a 0.18 mum CMOS process with 5 V compatible transistors, achieves a response-time of 4 mus at fs= 3 MHz and Vout= 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 0.5 % of the load current at Iout= 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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".