Robust Digital Algorithm for Rapid Phase Angle Tracking in Wireless Power Transfer
Bibliographic record
Abstract
Within wireless power transfer (WPT) systems, proper selection of the operating frequency is imperative in order to achieve high efficiency and power transfer. In the vast majority of WPT systems, disturbances to both the secondary side load and coupling condition alter the system dynamics, shifting the frequency corresponding to the optimum phase angle and necessitating closed-loop frequency control. In this paper, a fully digital phase angle tracking algorithm is presented. The proposed algorithm provides accurate phase tracking through a computationally efficient implementation robust to switching noise, allowing for high frequency and high power operation. Moreover, the phase measurement is fast converging, facilitating high-performance regulation under disturbances. By employing a fully digital approach, the system cost and complexity are reduced, as additional hardware required by competing analog methods is entirely eliminated. These qualities are concretely demonstrated through completed analysis and are further verified through collected experimental results.
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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 | 0.001 |
| 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 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".