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Discontinuous Bi-tri Logic SPWM for Current Source Converter with Optimized Zero-state Replacement

2020· article· en· W3037154507 on OpenAlexaff
Li Ding, Yunwei Li, Kai Sun

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPulse-width modulationConvertersComputer scienceElectronic engineeringModularity (biology)VoltageLogic gateCurrent sourceTopology (electrical circuits)Control theory (sociology)EngineeringAlgorithmElectrical engineering

Abstract

fetched live from OpenAlex

This paper proposed an optimized zero-state replacement (ZSR) method for discontinuous Bi-tri logic SPWM (BTSPWM) to reduce the switching frequency and common-mode voltage (CMV). The BTSPWM can take advantages of the well-developed modulation strategies adopted in voltage source converters (VSCs) and translates into current source converter (CSC) system through logic translation. Generally, all-off gating signals can be generated through the logic translation, which should be replaced with the redundant zero-states to avoid open-circuit. However, most of the ZSR strategies are focused on switching time minimization while not considering the CMV excited by the replaced zero-states. To address the CMV issue, an optimized ZSR method for discontinuous BTSPWM was proposed to suppress the CMV while not influence the pulse width modulation (PWM) features. Not only the CMV maximum value but also the third-order component can be effectively reduced. Moreover, the proposed method can be easily applied to parallel CSC system due to the inherent modularity. The validity of proposed method is verified on both single and parallel CSC system by experiment results.

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: Methods · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score0.903

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 head0.024
GPT teacher head0.224
Teacher spread0.199 · 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
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

Citations12
Published2020
Admission routes1
Has abstractyes

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