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Record W2139530517 · doi:10.1109/iecon.2001.975933

Modeling and design of a vector-controlled PWM active rectifier

2002· article· en· W2139530517 on OpenAlexaff
N.A. Losic, Cheng Li, Vishal Khatri

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsHoneywell (Canada)
Fundersnot available
KeywordsPulse-width modulationInsulated-gate bipolar transistorControl theory (sociology)Computer scienceThree-phaseRectifier (neural networks)Space vector modulationHarmonicVoltage sourceStationary Reference FrameVoltageDuty cycleTransient (computer programming)Power factorReference frameFrame (networking)EngineeringPhysicsElectrical engineeringInduction motorTelecommunications

Abstract

fetched live from OpenAlex

This paper presents both computer model and design of a three-phase vector-controlled voltage-source pulsewidth modulated (PWM) active rectifier, rated at 32 kW. A digitally-implemented space-vector pulsewidth modulation (SVPWM) is used for generating the switching signals for the insulated-gate bipolar transistor (IGBT) switches. The signals are obtained by sensing/closed-loop processing of ac input and do output current/voltage for tight bus regulation in both transient and steady state, at near unity power factor, i.e., at nearly sinusoidal input current in phase with voltage and with minimum harmonic content. The d-q voltage vector control in the synchronous frame, preceeded by the stationary-to-synchronous Park vector transformation and followed by the synchronous-to-stationary reference frame (inverse Park) transformation and duty-cycle/switching-vector determination, as well as the SVPWM generation have been hierarchically modeled using Saber simulator and practically implemented, with simulation and experimental results verifying the theoretical concepts.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.939
Threshold uncertainty score0.398

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 head0.033
GPT teacher head0.200
Teacher spread0.166 · 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 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

Citations5
Published2002
Admission routes1
Has abstractyes

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