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Record W2807423532 · doi:10.1109/cpe.2018.8372577

Phase-shift modulation technique for 5-level packed U-cell (PUC5) inverter

2018· article· en· W2807423532 on OpenAlexaff
Saeed Arazm, Hani Vahedi, Kamal Al‐Haddad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsÉcole de Technologie SupérieureUniversité du Québec à Montréal
Fundersnot available
KeywordsPulse-width modulationInverterVoltageModulation (music)HarmonicControl theory (sociology)CapacitorComputer sciencePulse-frequency modulationElectronic engineeringEngineeringPulse (music)Pulse-amplitude modulationPhysicsElectrical engineeringAcoustics

Abstract

fetched live from OpenAlex

In this paper a phase shift pulse width modulation (PS-PWM) is designed and implemented on the five level packed U-cell inverter (PUC5) to achieve better harmonic performance. Therefore, the PUC5 configuration and switching states are studied in details to design the PS-PWM technique properly in order to maintain the main feature of PUC5 inverter, which is sensor-less voltage balancing of the auxiliary capacitor. Such balanced voltage helps producing five identical voltage levels at the output. Moreover, PS-PWM enhances the performance of voltage balancing at all modulation indexes and makes the dynamic response faster with shorter time constant to reach the steady state reference voltage. Also the other advantages of PS-PWM will be accessible on this type of converter including lower switching losses and harmonic pollution results in using smaller size of harmonic filters in comparison with level sift modulation. Simulation results are demonstrated and discussed to validate the acceptable performance of the designed modulation technique.

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 score0.965
Threshold uncertainty score0.693

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 head0.037
GPT teacher head0.261
Teacher spread0.224 · 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

Citations36
Published2018
Admission routes1
Has abstractyes

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