Low Frequency Ripple Removal Method for LLC Converter Based on Quasi-PIR Controller
Bibliographic record
Abstract
LLC resonant converter has been widely used in DC-DC converters because of its high efficiency characteristic. However, the output voltage will be accompanied by 120 Hz ripple when the DC input is supplied by an uncontrolled diode rectifier in the 60 Hz grid. In order to remove the double frequency voltage ripple, the quasi-resonant controller is used in this paper, which inherits the advantages of the resonant controller. And the quasi-PI-resonant (quasi-PIR) controller is designed to eliminate AC ripple and keep the output voltage constant. The converter system with the quasi-PIR controller is investigated and compared with traditional PI controller. Experimental results on a 300 W LLC converter are provided. The experimental results show that with 10 V RMS 120 Hz AC voltage at the input of 400 V, the 120 Hz ripple at the output is reduced from 380 mV to 22.5 mV using the quasi-PIR controller instead of the PI controller.
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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) | 0.001 | 0.001 |
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".