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Record W2162788808 · doi:10.1109/iemdc.2011.5994600

Performance analysis of three-phase PWM rectifier using direct power control

2011· article· en· W2162788808 on OpenAlexaff
Azziddin M. Razali, Mohammad Azizur Rahman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPWM rectifierPulse-width modulationRectifier (neural networks)Power factorTotal harmonic distortionAC powerControl theory (sociology)HarmonicsPrecision rectifierThree-phaseComputer sciencePower (physics)Electronic engineeringTransient (computer programming)VoltagePower controlSwitched-mode power supplyEngineeringElectrical engineeringPhysicsControl (management)

Abstract

fetched live from OpenAlex

This paper presents a direct power control (DPC) based on grid virtual-flux for controlling the operation of three-phase, three-wire pulse-width modulation (PWM) bidirectional rectifier. Virtual-flux of main supply voltage is used to estimate the instantaneous active and reactive power of the PWM rectifier. Theoretical background of the DPC scheme utilizing virtual-flux of supply voltage is provided, giving a basic understanding the operation of PWM rectifier as a power conditioner. Some results of computer simulation and hardware implementation are given for studying and analyzing the operation and performances of the rectifier under the steady-state and transient conditions. The results have shown that DPC with virtual-flux implementation exhibited several advantages as compared to the conventional DPC scheme such as low total harmonic distortion of input currents, almost unity power factor operation and good dynamic response.

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 categoriesInsufficient payload (model declined to judge)
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 score0.924
Threshold uncertainty score0.999

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)0.0020.000

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 head0.037
GPT teacher head0.232
Teacher spread0.195 · 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

Citations25
Published2011
Admission routes1
Has abstractyes

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