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Record W1560376315 · doi:10.1109/iecon.2003.1280189

Modified PWM with indirect current control technique applied to a single-phase shunt active power filter topology

2004· article· en· W1560376315 on OpenAlexaff
S. Rahmani, Kamal Al‐Haddad, Farhat Fnaiech, Pratima Agarwal

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsPulse-width modulationHarmonicsControl theory (sociology)AC powerTotal harmonic distortionElectronic engineeringPower factorComputer scienceActive filterEngineeringVoltageElectrical engineering

Abstract

fetched live from OpenAlex

This paper presents and analyses a new indirect current control technique applied to single-phase shunt active power filter (SPSAPF) implemented with pulse width modulation (PWM) based on two comparisons to compensate harmonics and reactive power of a non-linear load. This method uses a residual signal constructed from the comparison between the supply current and the desired value. To evaluate its performance, we have compared it with the direct current control technique based on the classic demodulation. The PWM control technique adopted is based on two comparisons of a triangular high frequency carrier signal and the source harmonic current. This harmonic signal namely +v and its opposite value -v are used, at the same instant, in the comparison process to generate the gate signals for the semi-conductor devices. By using the averaging technique, the direct consequence of using this PWM technique is that the transfer function of the SPSAPF becomes a pure gain. Simulation results using power system blockset Toolbox PSB of Matlab show the performance of the new control algorithm for SPSAPF implemented with the PWM adopted and its capability to compensate harmonics and reactive power.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.864
Threshold uncertainty score0.796

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)0.0000.000

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 head0.026
GPT teacher head0.266
Teacher spread0.241 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations3
Published2004
Admission routes1
Has abstractyes

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