An Adaptive Method for DC Current Reduction in Totem Pole Power Factor Correction Converters
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Enabled by improved wideband gap semiconductor devices, the bridgeless totem pole power factor correction (PFC) converter is becoming an increasingly popular topology for front end ac input of high power battery chargers and telecom power supplies, achieving high efficiency as well as low electromagnetic interference. Unlike the conventional boost PFC, in a totem pole structure, different circuits are used for shaping the current in positive and negative half cycles. As a result, sensing inconsistencies may result in a significant dc component in the input current. In field applications, accumulation of dc currents from multiple PFC rectifier based loads can potentially lead to saturation of distribution transformers. This article proposes a low-cost method for adaptive detection and reduction of the dc input current based on time domain analysis of the dc link voltage. The effectiveness of the method in compensating manufacturing tolerances is experimentally validated on a 390 V, 1450 W interleaved totem pole PFC converter, and dc current reduction of up to 99.6% is achieved.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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