Self-Tuning Sensorless Digital Current-Mode Controller with Accurate Current Sharing for Multi-Phase DC-DC Converters
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Bibliographic record
Abstract
A sensorless multi-phase average current-program mode controller with an accurate self-tuning current estimator is introduced. Based on the values of the duty ratio, and the input and output voltages, the estimator calculates the average inductor current of each phase in a multi-phase dc-dc converter. The averaged values are calculated over one switching cycle. The estimator employs a phase-by-phase self calibration scheme. During the calibration, regulators of all currents but one are "frozen" and a small load step is intentionally introduced, by a test current sink. Based on the response, the parameters of the active phase are automatically adjusted such that accurate estimation and equal current sharing are achieved. Experiments with a 12 V-to-1.5 V, 60 W, 500 kHz, two-phase buck converter verify that the controller ensures fast estimation and, at the full load, a current sharing error of less than 5%.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it