A review and performance evaluation of control techniques in resonant converters
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".