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Variable-Parameter Field-Oriented Control for Interior-Permanent Magnet Synchronous Machine Drives

2024· article· en· W4410394183 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Power Systems and Control
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMagnetVariable (mathematics)Control theory (sociology)Synchronous motorComputer scienceMachine controlPermanent magnet synchronous generatorControl (management)Automotive engineeringControl engineeringEngineeringElectrical engineeringMathematicsArtificial intelligence

Abstract

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Interior permanent magnet synchronous machines (IPMSMs) are becoming widely considered in many applications, including appliances, manufacturing machinery, medical equipment, military equipment, propulsion systems, servo systems, etc. In IPMSMs, the flux linkage may vary significantly depending on the design and operating conditions, and their accurate modeling and control are essential. Look-up tables (LUTs) may be used to represent the flux-current relationship, which inherits the magnetic-flux saturation and cross-coupling characteristics. This paper presented a variable-parameter (inductance) field-oriented control (FOC) strategy with a feedforward speed loop for IPMSM drives, wherein the LUTs are used to represent the current-flux relationship and update the gains of the PI controllers for better decoupling between the q- and d-axes currents. The simulation studies demonstrate the proposed methodology of the variable-parameter FOC for IPMSMs in the unsaturated and saturated regions and its advantages over the conventional FOC algorithm.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.003
GPT teacher head0.196
Teacher spread0.193 · 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

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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