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Record W2021939064 · doi:10.1002/etep.4450100606

Digital implementation of fuzzy control algorithm for shunt active filter

2000· article· en· W2021939064 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEuropean Transactions on Electrical Power · 2000
Typearticle
Languageen
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsUniversité du Québec à Trois-RivièresÉcole de Technologie SupérieureConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHarmonicsPulse-width modulationControl theory (sociology)Active filterRectifier (neural networks)Three-phaseDigital signal processorDigital signal processingAC powerFuzzy control systemElectronic engineeringDigital controlComputer scienceInverterFuzzy logicTransient (computer programming)EngineeringVoltageElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

Abstract The paper deals with a digital‐signal‐processor (DSP)‐based implementation of a Fuzzy control algorithm for a three‐phase active filter (AF). The laboratory prototype model of the AF uses voltage source inverter (VSl) with pulse‐width modulation (PWM) current control technique. The AF is employed to compensate harmonics and reactive power of a non‐linear load. A three‐phase diode bridge rectifier with resistive‐inductive load is taken as a non‐linear load. With a view to obtain the steady‐state and transient response of the AF system, its mathematical model is developed. Experimental verification of simulated results is carried out to validate the proposed fuzzy control technique for AF 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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.966

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)0.0010.000

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 head0.010
GPT teacher head0.238
Teacher spread0.228 · 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