Common Mode Rejection in Single DC-Link Fed PHIL Emulator
Bibliographic record
Abstract
This research extends the idea of common mode rejection in a single DC-link fed emulator and drive inverter setup using a transformer. The study proposes a systematic method to design the PI controller for the magnetization current control at near-zero speed. The design is based on using the transformer parameters. Additionally, it introduces a method to implement a low-pass filter with amplitude and phase compensation to filter the harmonics in the current waveform. It is essential because the derivative of the current waveform is needed to compensate for the difference between the machine inductance and the coupling inductor. This study implements the described emulator for an actual motor and intends to study different modes of the motor operation on it, like a step change in load torque at non-zero speed and zero speed. The effectiveness of the magnetization current controller is proved by observing the current drawn on both ends of the transformer.
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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".