Parametric average-value modeling of diode rectifier circuits in nodal analysis EMTP-type solution
Bibliographic record
Abstract
Diode rectifier circuits are often used as front-end stage in many electronic loads in ac power systems. Average-value modeling (AVM) has been indispensible for studying power electronic systems, wherein the complicated switched sub-circuit may be substituted by appropriate non-switching average sub-circuit with dependent/controllable sources and other circuit elements. For time-domain transient simulation, the rectifier AVMs are developed using analytical derivations in transformed qd coordinates, and such models do not cover wide range of operating conditions as well as being difficult to interface with external ac network which is represented in abc phase coordinates/variables. In this paper, a new parametric AVM of diode rectifier circuit for nodal analysis EMTP-Type solution is proposed. The new model is directly interfaced and solved simultaneously with the ac network. The proposed model is verified against the detailed model and the previously established analytical AVM, and shown to have an improved accuracy in wider range of operating conditions.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".