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Record W2070376842 · doi:10.1109/apec.1994.316372

A near unity power factor input stage with minimum control requirements for AC drive applications

2002· article· en· W2070376842 on OpenAlexaff
Navid R. Zargari, G. Joós

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsConcordia University
Fundersnot available
KeywordsPulse-width modulationInverterRectifier (neural networks)Power factorPWM rectifierInduction motorControl theory (sociology)Computer scienceVoltageHarmonicAC powerPower (physics)EngineeringElectrical engineeringControl (management)Physics

Abstract

fetched live from OpenAlex

Conventional AC induction motor drives use PWM voltage source inverter (VSI) fed from a diode rectifier. In retrofit applications, due to voltage drops and the inverter voltage gain, six-step operation of the inverter is required at rated speed, resulting in large low order harmonic current and torque components. To allow the inverter to operate in the PWM mode of rated speed, a synchronous rectifier is used in this paper to boost the DC bus voltage slightly. The resulting converter system presents all the advantages associated with active front-end rectifiers. However, since the DC bus control requirements are not stringent, a simple control structure is used to ensure unity power factor operation. Furthermore, optimized PWM patterns and pattern synchronization are used to reduce the switching frequency of the rectifier. The paper presents an analysis and design guidelines for the complete drive system. Simulation and experimental results on a 5 kVA induction motor drive confirm the feasibility and advantages of the proposed structure.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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: none
Teacher disagreement score0.939
Threshold uncertainty score1.000

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 head0.025
GPT teacher head0.227
Teacher spread0.202 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

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