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Record W1536293644 · doi:10.1109/pesc.2006.1711967

Modeling and dynamics of a single-stage three-level resonant AC/DC converter operating with combined variable frequency & PWM control

2006· article· en· W1536293644 on OpenAlexaff
Mohammed Agamy, Praveen Jain

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsControl theory (sociology)Pulse-width modulationVoltageTransient (computer programming)Voltage controllerTransient responseDropout voltageController (irrigation)Voltage dividerEngineeringComputer scienceVoltage droopElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper presents a state space model based on a combined averaging and multiple frequency models suitable for the prediction of the performance of a single stage three level resonant AC/DC converter operated with variable frequency pulse width modulation control to regulate the output voltage, shape the input current as well as to control the dc bus voltage. The pulse width modulation aims to regulate the input current shape as well as the level of the dc-bus voltage; whereas, the variable frequency provides a tightly regulated output voltage. Using two control variables reduces the frequency range required to give the required output voltage over the whole loading and input voltage (90–265Vrms) ranges, in addition to that it reduces to a great extent the sensitivity of the output voltage these variations due to the faster dynamics of the output control loop. This converter, therefore, gives high efficiency and low voltage stresses across its switches and Zero Voltage Switching is achieved over a very wide range of loading and input voltage variations. The proposed model gives very good performance prediction under transient and steady state conditions and facilitates a better controller design.

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 score0.795
Threshold uncertainty score0.983

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 head0.014
GPT teacher head0.192
Teacher spread0.178 · 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

Citations4
Published2006
Admission routes1
Has abstractyes

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