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Record W2377893347

Discrete Control Modeling for Three-phase Voltage Source SVPWM Rectifier

2010· article· en· W2377893347 on OpenAlexaboutno aff
Zelong Yang

Bibliographic record

VenueJisuanji fangzhen · 2010
Typearticle
Languageen
FieldEnergy
TopicPower Systems and Renewable Energy
Canadian institutionsnot available
Fundersnot available
KeywordsPWM rectifierDecoupling (probability)Control theory (sociology)Rectifier (neural networks)Pulse-width modulationTime domainComputer scienceDiscrete time and continuous timeSmall-signal modelVoltage sourceBasis (linear algebra)Electronic engineeringVoltageEngineeringControl engineeringControl (management)MathematicsElectrical engineering
DOInot available

Abstract

fetched live from OpenAlex

Three-phase Voltage Source Rectifier(VSR) with high power factor can realize bidirectional flow of energy.The mathematical model of VSR and feed forward decoupling control technique were analyzed,the proposed SVPWM algorithm of matrix format can reduce amount of calculation.Basic SVPWM real-time controlling model was composed of four models including space sector determination model,acting time judgment model of correlation vector,calculation model of switch transit time and PWM model,which were constructed on the basis of high-speed signal processing system VHS-ADC of Lyrtech company in Canada.The validity of the proposed discrete domain control model was proved by the three-phase SVPWM rectifier simulation research in both discrete and continuous domain.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.276
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2010
Admission routes1
Has abstractyes

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