A control algorithm based on capacitor charge balance during transient for Buck converter
Bibliographic record
Abstract
A control algorithm combing linear and nonlinear control is introduced based on the principle of capacitor charge balance to achieve good dynamic response of Buck converter.The proposed algorithm chooses linear voltage mode control when the load is stable,nonlinear control will be chosen during load transient.Because the quantity of capacitor charge during the transient is different when load current steps at different phase of one switching cycle,the dynamic responses are not the same.With the strategy of ca-pacitor charge balance control,the best dynamic response can be obtained when load current steps positive-ly at the maximum of inductor current.On the contrary,the worst dynamic performance will occur when load current steps negatively at the same time.The Buck converter based on capacitor charge balance con-trol was simulated as well as voltage mode control for comparison.Simulation results verify the rightness of theoretical analysis and the superior dynamic performance of capacitor charge balance control.
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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 | 0.000 | 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".