Control Strategy for 5∅ Dual-Stator Winding Induction Starter/Generator Scheme
Bibliographic record
Abstract
Thisstudypresentsasystematicregulationapproachforastarter/generator(S/G)technologydependingupon a (FPDWIM). The FPDWIM features two sets of stator windings and a cage-type rotor. The first was a 5∅ control winding (CW), while second is a 5∅ power winding (PW). The FPDWIM acts as a motor when it is turned on. The CONTROL WINDING drives the engine by providing both active and reactive power. The CONTROL WINDING handles reactive power in the producing phase, whereas the POWER WINDING delivers active power. To complete the combination of the beginning and producing control, ICWFOC is designed to perform in both starting and generating modes. The CONTROL WINDING current and flux are controlled in beginning mode to produce a consistent starting torque, while the CONTROL WINDING and POWER WINDING Direct Current bus voltages were controlled for producing mode. As a result, these methods' operational concepts and topologies remain equivalent, making implementation and performance easier. Using the suggested control method, this network may complete the starting-generating process having more better transitioning operation.
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 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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".