Experimental Investigation of MTPA Trajectory of Synchronous Reluctance Machine
Bibliographic record
Abstract
The output torque of a Synchronous Reluctance Machine (SynRM) varies non-linearly with the stator current. It is represented as torque angle characteristics with the stator current as a parameter. To obtain a certain output torque, there is a large combination of stator current magnitudes and current angles. Thus, in order to minimize the inverter current and the stator copper loss, it is desirable to maintain the torque to current ratio at its maximum value. This paper evaluates four experimental methods to obtain the torque angle curves and Maximum Torque Per Ampere (MTPA) trajectory of SynRMs. Based on the experiments performed on a prototyped SynRM, adequacy of the static torque angle curves obtained for the locked rotor condition for MTPA is investigated. Experimental results suggest that the MTPA trajectory obtained by locked rotor test with varying both the rotor position and current vector produces a fairly accurate MTPA trajectory of the SynRM. When either rotor position or the current vector alone is varied to obtain the torque angle curve and the MTPA trajectory by locked rotor test, the obtained torque angle curves and MTPA trajectory deviate from the actual torque angle curves and the actual MTPA trajectory.
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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 | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".