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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".