A critical assessment of the continuous-system approximate methods for the stability analysis of a sampled data system
Bibliographic record
Abstract
A critical assessment of the approximate methods for the stability analysis of a PWM (pulse width modulation) static VAr (volt-ampere reactive) compensator, which is a typical sampled data power converter system. is presented. The open-loop transfer function of the system is derived and verified experimentally. The closed-loop operation of the system with a PI (proportional-integral) controller is investigated. Different continuous-system approximate models for the stability analysis of the system are developed, and their validity is investigated. In particular, it is shown that, by considering only the principal strip model and by approximating the dead time of the zero-order hold unit, approximate models are obtained which cannot accurately predict the stability region of the system. Therefore, these approximate models are not generally reliable for design purposes. A modified frequency-domain model is used to predict the stability region accurately. The dynamic performance and the closed-loop design of this sampled data system are verified with the Electromagnetic Transients Program. All the predicted results are experimentally verified on a laboratory-scale prototype PWM static VAr compensator.>
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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 | 0.008 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".