Speed Extended Maximum Torque per Voltage Fault-Tolerant Control of Dual Three-Phase PMSMs Under Open-Phase Fault
Bibliographic record
Abstract
For dual three-phase permanent magnet synchronous machines (DT-PMSMs) under open-phase fault, the peak phase voltages (PPVs) are significantly larger than that under healthy condition due to the harmonics in the postfault currents, which can greatly limit the maximum attainable speed of the motor. However, this has not been addressed in existing fault tolerant controls (FTCs). This letter presents a novel maximum torque per voltage (MTPV) FTC to consider the PPV and improve the maximum attainable speed under open-phase fault. The influence of the PPV is analyzed with experimental results to show the motivation. The proposed FTC aims to minimize the fault-induced ripple and maximize the ratio of torque to PPV, and genetic algorithm is used to find the optimal solutions. Compared with existing FTCs, the proposed approach can achieve better torque to PPV ratio and maximum attainable speed, which is validated with experiments and comparisons.
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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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".