MétaCan
Menu
Back to cohort
Record W1701533177

Application of space vector modulation in direct torque control of PMSM

2008· article· en· W1701533177 on OpenAlexaff
Michal Málek, Ján Vittek, Vladimír Vavrúš, Marek Štulrajter

Bibliographic record

VenueDSpace VŠB-TUO (VŠB-TUO) · 2008
Typearticle
Languageen
FieldEngineering
TopicSensorless Control of Electric Motors
Canadian institutionsUniversity of Regina
FundersVedecká Grantová Agentúra MŠVVaŠ SR a SAV
KeywordsDirect torque controlSpace vector modulationVector controlControl theory (sociology)TorqueModulation (music)Space (punctuation)Control (management)Computer scienceControl engineeringPhysicsEngineeringPulse-width modulationInduction motorElectrical engineeringVoltageArtificial intelligenceAcoustics
DOInot available

Abstract

fetched live from OpenAlex

The paper deals with an improvement of direct torque control method for permanent magnet synchronous
\nmotor drives. Electrical torque distortion of the machine under original direct torque control is relatively high and if proper
\nmeasures are taken it can be substantially decreased. The proposed solution here is to combine direct torque control with the
\nspace vector modulation technique. Such approach can eliminate torque distortion while preserving the simplicity of the
\noriginal method.

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.

How this classification was reachedexpand

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.005
GPT teacher head0.184
Teacher spread0.179 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueDSpace VŠB-TUO (VŠB-TUO)Same topicSensorless Control of Electric MotorsFrench-language works237,207