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Record W4409883030 · doi:10.1109/tpel.2025.3564726

Speed Extended Maximum Torque per Voltage Fault-Tolerant Control of Dual Three-Phase PMSMs Under Open-Phase Fault

2025· article· en· W4409883030 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2025
Typearticle
Languageen
FieldEngineering
TopicElectric Power Systems and Control
Canadian institutionsConcordia University
FundersGuangdong Science and Technology DepartmentNational Natural Science Foundation of China
KeywordsControl theory (sociology)TorqueFault (geology)Phase (matter)Dual (grammatical number)Direct torque controlFault toleranceVoltageComputer scienceControl (management)EngineeringElectrical engineeringPhysicsInduction motor

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.960
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.263
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it