Critical Parameters in the Transient Response of Synchronous Buck Converters
Bibliographic record
Abstract
The transient behavior of synchronous buck converters, using critical parameters, is investigated in this work under high current slew-rate load transients. Critical parameters are defined as the combination of parameters for which the peak transient response is dominated by the effect of the capacitor Equivalent Series Resistance ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ESR</i> ). Given the importance of the effect of <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ESR</i> in low-voltage, high- current synchronous buck converters, an effective normalization method is developed in this paper to reduce the dependence on other parameters, thus providing valuable generality to the transient analysis. A set of critical normalized expressions valid for any possible synchronous buck converter is derived, which can be used as a useful design tool to meet transient specifications. By using critical parameters, both transient recovery time and peak voltage regulation can be met while keeping <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> and <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">C</i> to a minimum. A detailed characterization of the effect of <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ESR</i> is presented, and the normalized approach clarifies the role of <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ESR</i> in the transient response. A critical design example is presented where the parameters of the converter are obtained by performing a simple denormalization. Finally, the critically designed converter is evaluated using boundary controllers as well as classical current- and voltage-mode controllers to assess the influence of the control scheme on the transient response of the converter.
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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 | 0.001 | 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 | 0.000 |
| 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 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".