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Record W1985088346 · doi:10.1109/ecce.2011.6063917

A 10 MHz mixed-signal CPM controlled DC-DC converter IC with novel gate swing circuit and instantaneous efficiency optimization

2011· article· en· W1985088346 on OpenAlexafffund
Amir Parayandeh, Behzad Mahdavikkhah, S. M. Ahsanuzzaman, Aleksandar Radić, Aleksandar Prodić

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsUniversity of Toronto
FundersCMC Microsystems
KeywordsGate driverController (irrigation)Pulse-width modulationElectronic engineeringTransistorBuck converterPower (physics)VoltageElectrical engineeringComputer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

This paper introduces a mixed-signal peak current-programmed mode controlled 10 MHz dc-dc converter integrated circuit (IC) for low-power applications. The IC combines segmented power transistors, gate drivers and the main functional blocks of a multi-mode controller. Based on the information about the peak transistor current, obtained from the voltage loop, the controller instantaneously changes the number of segments, gate drive voltage, or switches to pulse-frequency modulation, such that for each operating point efficiency is optimized. To obtain reliable operation at such a high switching frequency and achieve efficiency optimization novel architecture of gate swing circuit is combined with modifications of known designs of other functional blocks. Experimental verification of a 0.6 W buck converter IC, fabricated in a 0.13 μm process, demonstrate the peak efficiency of an 83%, near time-optimal dynamic response, and up to a 20% efficiency improvement due to the action of the efficiency optimization controller.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.968
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 head0.012
GPT teacher head0.173
Teacher spread0.161 · 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

Citations21
Published2011
Admission routes2
Has abstractyes

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