A review and performance evaluation of control techniques in resonant converters
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents different control techniques that are frequently applied in the resonant converters. The paper first discusses each control technique and then gives quantitative comparison of such techniques to highlight their merits and demerits. A full bridge series parallel resonant converter with an inductive output filter is taken as a study case for this comparative study. The different control techniques include: variable frequency (VF) control, phase shift modulation (PSM) control, self-sustained oscillation (SSOC) control, self-sustained phase shift modulation (SSPSM) control, and optimal control (sometimes called linear quadratic regulator LQR). The comparative study illustrates the effect of each controller on the converter rating, transient response, the allowable range of zero voltage switching (ZVS), and the range of the switching frequency variation. It is shown in the paper that the traditional linear controllers offer good performance at one operating point only while the nonlinear controllers, can improve robustness, reliability, and dynamic performance over a wide range of operation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| 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