Comparison of Current Controllers that use Internal Feedback of the Controller PWM Signals to Produce a PWM-cycle Zero Average Current-error
Bibliographic record
Abstract
The proposed carrier-based PWM current controller is described for a 1-phase PWM rectifier that uses a unipolar PWM signal generator to control the switching of the PWM rectifier. The current-error signal and an amplitude modulation depth signal form the input signal to the PWM signal generator. Similar to hysteresis-band controllers, changes in the slope of the current-error signal produces an automatic change in the PWM-cycle average of the PWM generator output signals. This PWM-cycle average is used to create the amplitude modulation depth signal, and the PWM-cycle current-error signal can be forced to be centred on zero as a result. Unlike hysteresis-band current controllers, the PWM generator input reference signal is compared with a sawtooth carrier signal and the PWM switching frequency is automatically fixed. The optimum peak-peak magnitude of the current-error signal relative to the magnitude of the carrier signal is discussed. The proposed current controller is examined using two different controller types implemented using analog circuit techniques. SPICE simulations and experimental results are used to examine the relative performances of the two controllers
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".