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Record W2162306566 · doi:10.1109/pesc.2004.1355221

SVPWM-based current controller with grid harmonic compensation for three-phase grid-connected VSI

2004· article· en· W2162306566 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

Venue2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551) · 2004
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsOvercurrentControl theory (sociology)HarmonicsPulse-width modulationController (irrigation)HarmonicCompensation (psychology)Computer scienceGridVoltageTimerThree-phaseEngineeringElectronic engineeringElectrical engineeringMicrocontrollerControl (management)Physics

Abstract

fetched live from OpenAlex

Voltage space vector pulse-width modulation (SVPWM) is widely used in the current control of three-phase voltage-source inverters (VSI). However, as a voltage-type modulator, SVPWM brings some drawbacks to controllers, such as the compromised output current due to the back EMF disturbance and nonlinearity of the system, the lack of inherent overcurrent protection, etc. In this paper, SVPWM-based current control strategy with grid harmonics compensation and dual-timer sampling scheme is proposed and implemented in a 30 kW three-phase grid-connected VSI. Both simulation and experimental results verify that the proposed current controller offers a high performance of current control even under the influence of the grid harmonics. At the same time, the proposed dual-timer sampling scheme not only minimizes the system control delay but also offers an improved response for overcurrent protection to the system.

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 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: none
Teacher disagreement score0.683
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.253
Teacher spread0.234 · 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