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Record W2117294227 · doi:10.1109/ccece.1997.608355

Direct torque control of an induction motor using fuzzy logic

2002· article· en· W2117294227 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
TopicSensorless Control of Electric Motors
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsStatorControl theory (sociology)Direct torque controlInduction motorVector controlTorqueFuzzy logicObserver (physics)Fuzzy control systemComputer scienceControl engineeringTorque motorEngineeringControl (management)PhysicsArtificial intelligenceElectrical engineeringVoltage

Abstract

fetched live from OpenAlex

Direct torque control (DTC) system is currently one of the favourable control schemes for AC motor drives since it has the important advantage that system performance is not dependent on the motor parameters-except the stator resistance. However, if the stator resistance varies, the performance of the system will suffer, as the stator resistance value used in calculating the stator flux does not match the actual situation. Compensation for the effect of the variation of stator resistance then becomes necessary. This paper describes a fuzzy observer, which can estimate the stator resistance online, according to the actual stator current motor speed and operating time. The proposed fuzzy observer for stator resistance in this paper is applicable not only in the DTC system of induction motors but also in other types of motor drive systems.

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: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.499

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 head0.022
GPT teacher head0.213
Teacher spread0.191 · 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

Citations41
Published2002
Admission routes1
Has abstractyes

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