Bibliographic record
Abstract
The efficiency and time of charging are critical to the application of Farad capacitor. To reduce the loss and enhance the efficiency of Farad capacitor charging, this paper designs a constant power charging system for Farah capacitor based on negative feedback control. Centering on KEAZN64 microprocessor, the system collects the charging voltage and current in real time, which are processed by the microprocessor using the proportional-integral-derivative (PID) algorithm. Then, the microprocessor outputs pulse-width modulation (PWM) signals. Under the control of these signals, the half-bridge drive circuit realizes the constant power charging of Farad capacitor bank. Several experiments were conducted to compare the charging efficiency and time of three charging modes on a Farad capacitor bank, namely, constant voltage charging, constant current charging and constant power charging. The experimental results show that the constant power charging outperformed the other two modes, and the proposed system could charge the Farad capacitor bank with a constant power between 1~60W. The charging efficiency of the system reached 96%. The research findings provide a strong technical support for the promoting of Farad capacitor.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".