New rotating transformation for efficient DSP control of active power-line conditioners
Bibliographic record
Abstract
This paper presents a new rotating transformation for the control of APLC (active power line conditioners). APLC is a power electronic inverter which is designed to suppress power line distortion caused by nonlinear loads. Existing control methods for the APLC such as the popular instantaneous power transformation, are based on measurements of both power line voltage and current to estimate the required compensation for the power line distortion. These methods are quite sensitive to the power line voltage distortion that can introduce control errors. This paper presents a new simple transformation method for the APLC which determines the correct power line compensation using the line current measurement only. This method simplifies the existing control processing and reduces the power line measurement requirements. The accuracy of the new method is not affected by the power line voltage distortion and therefore, it is reliable for all power line conditions. A 10 kVA prototype APLC has been developed to verify the accuracy and efficiency of the new method.
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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 | 0.000 |
| 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".