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A Novel Inter-Modulated Floating Carrier Level Shifted PWM Method for PUC9 Converter

2021· article· en· W3216281598 on OpenAlexaff
Kiavash Askari Noghani, Mostafa Abarzadeh, Alireza Javadi, Kamal Al‐Haddad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsSuez (Canada)École de Technologie Supérieure
Fundersnot available
KeywordsCapacitorPulse-width modulationVoltageModulation (music)Electronic engineeringComputer scienceElectrical engineeringControl theory (sociology)EngineeringPhysicsAcousticsControl (management)

Abstract

fetched live from OpenAlex

In this paper, a new level shifted pulse-width modulation (LSPWM) method utilizing the suggested intermodulated floating carrier signals is proposed for the nine-level packed U-cell (PUC9) converter. In the proposed inter-modulated floating carrier LSPWM (IFC-LSPWM) technique, six floating carrier signals are modulated between the main eight level shifted fixed carriers to achieve active voltage balancing of the auxiliary capacitors. Hence, the staircase nine-level output voltage is generated by employing eight fixed level-shifted PWM carrier signals whereas six inter-modulated floating carrier signals provide voltage balancing of the auxiliary capacitors. Therefore, the proposed IFC-LSPWM method does not require any logic gates or comparison loops to provide voltage balancing of the auxiliary capacitors. Moreover, constant switching frequency operation and the reduced values of the auxiliary capacitors are obtained by employing the proposed IFC-LSPWM. The proposed IFC-LSPWM method is applied to the three-phase PUC9 converter. The provided experimental results verify the viability and performance of the proposed IFC-LSPWM method.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.917
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 head0.045
GPT teacher head0.274
Teacher spread0.228 · 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
GenreMethods

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

Citations3
Published2021
Admission routes1
Has abstractyes

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