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Record W2159002217 · doi:10.1109/ecce.2011.6063797

A practical control strategy to improve unloading transient response performance for buck converters

2011· article· en· W2159002217 on OpenAlexaff
Liang Jia, Zhiyuan Hu, Yan‐Fei Liu, Paresh C. Sen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsBuck converterOvershoot (microwave communication)Settling timeTransient responseConvertersControl theory (sociology)Transient (computer programming)VoltagePower (physics)Computer scienceController (irrigation)Ćuk converterBuck–boost converterElectronic engineeringInductorBoost converterEngineeringStep responseControl (management)Control engineeringElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

In this paper, a practical control strategy is presented which is capable of controlling a 12V-1.5V Buck converter and an auxiliary converter to achieve significantly improved unloading response performance. The auxiliary circuit is controlled by peak current mode method for a predictable number of auxiliary switching, while the charge balance controller minimizes the settling time of the Buck converter. In the proposed strategy, a good tradeoff has been made (between the trends to further suppress the voltage overshoot and reduce the power loss). Furthermore, analysis of the auxiliary circuit power loss and the improved output voltage overshoot has been conducted as a design guideline. Finally, simulation and experimental results are provided to verify the proposed scheme on a 12V-1.5V 10A Buck converter prototype.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.829

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 head0.027
GPT teacher head0.256
Teacher spread0.229 · 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

Citations18
Published2011
Admission routes1
Has abstractyes

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