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Record W1975289611 · doi:10.1109/ccece.2006.277402

A Novel Maximum Power Trecking Controller for a Stand-alone Photovoltaic DC Motor Drive

2006· article· en· W1975289611 on OpenAlexaff
A.Μ. Sharaf, Liang Yang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPhotovoltaic systemControl theory (sociology)Maximum power principleController (irrigation)DC motorComputer scienceInrush currentMaximum power point trackingRenewable energyAutomotive engineeringEngineeringElectrical engineeringVoltageInverter

Abstract

fetched live from OpenAlex

The paper presents a novel dynamic maximum photovoltaic (PV) power tracking controller using an error driven, error scaled nonlinear self adjusting control (SAC) block for the switching of the four-quadrant PWM converter driving the PMDC motor. The novel dynamic controller utilizes reference speed trajectory tracking with supplementary current limiting loop and maximum photovoltaic power tracking loop. It ensures both good reference speed tracking with minimum motor inrush current as well as a near maximum photovoltaic solar energy utilization at all times, especially under varying temperature and solar conditions. The proposed stand-alone photovoltaic renewable energy DC motor drive scheme is suitable for low cost village electricity application in the range of (150 watts to 15000 watts), mostly for water pumping and village irrigation use in arid countries

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.012
GPT teacher head0.236
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.

Study designBench or experimental
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

Citations15
Published2006
Admission routes1
Has abstractyes

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