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Record W2135353084 · doi:10.1109/apec.2009.4802843

Controlled Auxiliary Circuit with Measured Response for Reduction of Output Voltage Overshoot in Buck Converters

2009· article· en· W2135353084 on OpenAlexaff
Eric Meyer, Zhiliang Zhang, Yan‐Fei Liu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsOvershoot (microwave communication)Buck converterControl theory (sociology)Transient responseTransient (computer programming)VoltageBuck–boost converterCapacitorDuty cycleConvertersBoost converterĆuk converterComputer scienceEngineeringElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

In order to adhere to voltage regulation criteria, capacitor selection of a Buck converter must be based on the worst possible scenario. It is well known that, for a low duty cycle Buck converter, the output voltage deviation of a Buck converter undergoing an unloading transient will be significantly larger than that of a corresponding loading transient of equal magnitude. Therefore, in this paper, an auxiliary circuit and corresponding control method is presented to reduce the output voltage overshoot of a Buck converter undergoing an unloading transient. The proposed auxiliary circuit diverts a constant controlled current from the output of the converter to the input of the converter thereby significantly reducing the output voltage overshoot. In addition, the proposed auxiliary controller estimates the magnitude of the unloading transient and sets the auxiliary current to an appropriate level based on a pre-defined set of criteria. This allows for greater design flexibility and increases the auxiliary circuit efficiency for unloading transients of lesser magnitude. As demonstrated through simulation and experimental results, the proposed converter successfully estimates the unloading transient magnitude and diverts a proportional amount of current from the converter output.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.767
Threshold uncertainty score0.768

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 head0.216
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.

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

Citations15
Published2009
Admission routes1
Has abstractyes

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