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Record W2100989775 · doi:10.1109/ecce.2009.5316384

Adaptive nonlinear maximum power point tracker for a WECS based on permanent magnet synchronous generator fed by a matrix converter

2009· article· en· W2100989775 on OpenAlexaff
M. Pahlevaninezhad, Alireza Safaee, Suzan Eren, Alireza Bakhshai, Praveen Jain

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsControl theory (sociology)Permanent magnet synchronous generatorMaximum power principleController (irrigation)Maximum power point trackingBacksteppingTurbineWind powerGenerator (circuit theory)Operating pointPower (physics)Power optimizerEngineeringComputer scienceNonlinear systemVoltageAdaptive controlPhysicsElectronic engineeringElectrical engineeringInverterControl (management)Mechanical engineering

Abstract

fetched live from OpenAlex

This paper presents a new control method to track the maximum power point for a Wind Energy Conversion System (WECS). This WECS is based on a permanent magnet synchronous generator (PMSG) fed by a matrix converter. Since the mechanical power generated by the wind turbine is a function of its shaft speed at a given wind velocity, the proposed controller provides the desired voltage at the output of the matrix converter so as to control the generator speed. This controller is based on the nonlinear adaptive backstepping approach which is well suited for this system. This method is able to effectively accommodate the effects of system uncertainties. Theoretical analysis and simulation results verify the feasibility and performance of the proposed approach.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.977
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 head0.008
GPT teacher head0.214
Teacher spread0.206 · 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
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

Citations11
Published2009
Admission routes1
Has abstractyes

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