An Efficient Analytical Solution to Speed-Extended Fault-Tolerant Control of Dual Three-Phase PMSMs Under Open-Phase Fault
Bibliographic record
Abstract
For dual three-phase PMSM (DT-PMSM) operating under open-phase fault, the harmonics in the post-fault currents could substantially elevate the peak phase voltages (PPVs) as compared with healthy operating conditions. This voltage amplification phenomenon can critically limit the maximum achievable operating speed due to the fixed inverter voltage. To address this issue, this paper presents a novel speed extended FTC to optimize the PPV and improve the maximum attainable speed under open-phase fault. To achieve improved performance and speed extension, the proposed FTC aims to minimize the fault-induced ripple, maximize torque generation and minimize PPV. In the proposed design, the currents in torque frame are designed as DC values to achieve zero torque ripple and the current angle as well as the currents in the harmonic frame are optimized to maximize torque and minimize PPV. The conditions to achieve minimal PPV are analyzed and the optimal solutions to FTC are analytically designed with high computation efficiency. Compared with existing FTCs, the proposed analytical FTC can achieve a lower PPV and higher maximum attainable speed without degrading torque production. The effectiveness of the proposed FTC is verified with extensive experiments and comparisons on a laboratory DT-PMSM.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 teacher head, 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".