Stator-PM-Based Variable Reluctance Resolver With Advantage of Motional Back-EMF
Bibliographic record
Abstract
The stator-permanent magnet (PM) motor has an advantage with its simple and firm rotor, which is suitable when being applied to automotive applications. This article proposes a novel structure for a variable reluctance (VR) resolver by using the concept of the stator PM. This novel VR resolver shares a similar operation principle to the conventional VR resolver by injecting a 10-kHz excitation signal at low speeds. Alternatively, at higher speeds, the stator PM can produce motional back electromotive force (EMF) to support position measurement without the need for electrical excitation. The motional back-EMF can also reduce decoding computation. In addition, higher frequency signal excitation is not required for position measurement at higher speeds. This feature is beneficial for extremely high-speed motor applications. As a sensor, an inexpensive and low-amount ferrite magnet is used in the prototype to satisfy the low-cost requirements of the automotive industry.
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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 | 0.001 | 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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".