Fast-transient, low-THD geometric control of boost-derived active rectifiers
Bibliographic record
Abstract
The control design of boost-derived active rectifiers searches to achieve fast dynamic performance on the DC bus voltage and low total harmonic distortion at the input current. Due to the nature of the topology, attempts to increase the bandwidth of the voltage loop can cause distortion in the input current. As a result, the voltage control loop usually shows sluggish dynamics. Several linear, PWM-based control approaches have tackled this issue in the past improving the dynamic performance to a limited extent. On the other hand, boundary controllers provide excellent performances at the expense of high implementation complexity and input current distortion. This work proposes a PWM-based geometric voltage compensator to achieve fast dynamic performance while the input current distortion is maintained low. The average nature of the technique makes the implementation straightforward and compatible with existing current control methods. The analysis is performed in a normalized geometric domain providing generality and theoretical insight into the topology's behaviour. The theoretical findings are supported by simulation and experimental results highlighting the direct contribution into the applied field.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".