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Record W1984994286 · doi:10.1109/ccece.2013.6567701

AC voltage regulation by switch mode PWM voltage controller

2013· article· en· W1984994286 on OpenAlexaff
P. K. Banerjee, Kaamran Raahemifar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDropout voltageDisturbance voltageVoltage sagVoltage regulationVoltage regulatorPulse-width modulationDuty cycleVoltage controllerVoltageInsulated-gate bipolar transistorVoltage dividerLow-dropout regulatorControl theory (sociology)Voltage optimisationVoltage droopElectrical engineeringEngineeringComputer scienceControl (management)Power quality

Abstract

fetched live from OpenAlex

Voltage sag is an important power quality problem. It may affect domestic, industrial and commercial customers. Voltage sags may either be decreasing or increasing due to faults or change in loads. In this paper a switch mode AC to AC regulator is investigated to maintain constant voltage across the domestic appliance during the voltage deviation from the rated value. Such deviation may occur due to change in load or change in input voltage due to voltage sag of the system itself. The proposed system incorporates insulated gate bipolar transistor (IGBT) with high frequency switching technology. The Pulse Width Modulation (PWM) controls the ON/OFF time (Duty cycle) of switching devices (IGBTs) of this regulator. By regulating duty cycle of the control signal, output voltage can be maintained almost constant for wide range of input voltage variation. Simulation results show constant voltage can be achieved in either cases of increasing or decreasing input voltage as long as it is within specified limit.

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 score0.962
Threshold uncertainty score0.999

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)0.0020.000

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 head0.004
GPT teacher head0.191
Teacher spread0.187 · 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
Published2013
Admission routes1
Has abstractyes

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