Parasitics and voltage collapse of the DC-DC boost converter
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Bibliographic record
Abstract
The nonlinearity arising from parasitic parameters in a boost converter is investigated in this paper. It is shown that this nonlinearity can cause a serious instability problem for boost converter control. The nonlinearity makes robust controller design difficult due to sensitivity to disturbances. Static and dynamic voltage collapse is studied. Non-iterative formulae are derived using the bilinear averaged model to calculate the voltage collapse point due to the parasitic parameters. Using these simple formulae boost converter operating region and disturbance limits can be calculated in the design phase. The use of these formulae in the design of the boost converter control system is studied. Boost converter disturbance and operating limits calculated using the derived formulae are verified using switched nonlinear circuit model based simulations.
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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) | 0.000 | 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 it