Design and Analysis of a Novel PM-Assisted Synchronous Reluctance Machine Topology With AlNiCo Magnets
Bibliographic record
Abstract
The absence of field excitation on the rotor of the synchronous reluctance machine, results in poor power factor and low power density when compared to permanent magnet synchronous machines. To mitigate these problems, permanent magnet-assisted synchronous reluctance machines were introduced. The inserted permanent magnet boosts the machine's power factor and enhances its power density. In this paper, a new topology for permanent magnet-assisted synchronous reluctance machines using low cost AlNiCo magnets is proposed. The results of the proposed design with various magnet dimensions using AlNiCo magnets are compared with a previously designed and prototyped synchronous reluctance machine. Simulations for the same magnet dimensions are also carried out using a rare earth magnet material to study the effect of magnet type on the machine's performance. A final design using AlNiCo magnets is chosen based on the gain in the power density, manufacturing cost, torque ripple, and the power factor improvement. A rotor prototype is manufactured based on the selected topology and tested under various 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 | 0.000 |
| 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 | 0.001 | 0.000 |
| 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".