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Record W4378187438 · doi:10.14447/jnmes.v26i1.a07

Experimental Validation and Efficiency Analysis of Sensorless PR based 15PUC (fifteen level Packed U Cell) MLI for Commercial & Residential Applications with Novel Switching Algorithm

2023· article· en· W4378187438 on OpenAlexvenueno aff
Narendra Kumar Muthukuri, Subbarao Mopidevi

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2023
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceAlgorithmMaterials science

Abstract

fetched live from OpenAlex

This paper prompt fifteen level packed U cell (PUC) based multilevel-inverter (MLI) topology for standalone and grid-connected applications.The 15PUC required only eight IGBTs compared with other conventional MLIs (FC, NPC, HCHB and CHB).This paper describes and proposes a sensorless proportional resonant (SLPR) controller with radical multicarrier (RMC) based LS PD-PWM and a novel switching algorithm.These proposed controllers compensate for DC-link capacitor voltages, control third, higher and zeroorder harmonics.The stability analysis and robustness of the proposed SLPR controller with the PUC system have been verified through Bode and Nyquist plots.In addition, the 15PUC system is proving highly efficient-based system through power loss analysis.The effectiveness and performance of 15PUC with proposed controllers are evaluated by using experimentally and MATLAB simulations also.The results are verified through FFT analysis and obtained THD% comes under the IEEE-519 standard.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.032
GPT teacher head0.277
Teacher spread0.245 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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