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Record W2772978916 · doi:10.1109/iecon.2017.8217161

Three-phase interleaved semi-controlled PFC converter for aircraft application

2017· article· en· W2772978916 on OpenAlexaff
Sivanagaraju Gangavarapu, Akshay Kumar Rathore

Bibliographic record

VenueIECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsConcordia University
Fundersnot available
KeywordsConvertersVoltageCurrent (fluid)Control theory (sociology)Power factorCurrent loopBoost converterComputer sciencePower (physics)Electronic engineeringEngineeringControl (management)Electrical engineeringPhysics

Abstract

fetched live from OpenAlex

In more electric aircraft (MEA), three phase PFC rectifiers of several kilowatts are required. In this paper, analysis and design of a single stage three phase PFC interleaved half controlled boost converter for aircraft application is presented. The proposed converter uses the voltage follower approach i.e it is operated in Discontinuous Conduction Mode (DCM). This avoids the inner current control loop which further eliminates the sensing of current through current sensors. This makes the system more reliable and robust. This approach uses only one voltage control loop for output voltage regulation. A two stage approach is also proposed to improve the input current quality of the converter. To validate the analysis, the proposed converters are simulated in PSIM. A comparison between the single stage and two stage converters in terms of efficiency, power factor and input current quality are presented. The results show that the input current quality is high in two stage approach with slight compromise in efficiency.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.907
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.042
GPT teacher head0.286
Teacher spread0.244 · 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

Citations12
Published2017
Admission routes1
Has abstractyes

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