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Record W1604725638 · doi:10.1109/ever.2015.7112929

Pitch control of a Wind Energy Conversion System based on Permanent Magnet Synchronous Generator (PMSG)

2015· article· en· W1604725638 on OpenAlexaff
Makanga Koumba Paul, Bekhada Hamane, Mamadou Lamine Doumbia, A. Chériti

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsPermanent magnet synchronous generatorMATLABWind powerControl theory (sociology)Computer scienceGenerator (circuit theory)MagnetWind speedAutomotive engineeringControl engineeringControl (management)EngineeringPower (physics)PhysicsElectrical engineering

Abstract

fetched live from OpenAlex

This paper studies the modelling and control of a Wind Energy Conversion System (WECS) based of a Permanent Magnet Synchronous Generator (PMSG). The amount of energy obtained from a WECS depends not only on the characteristics of the wind operating conditions at the site, but it also depends on the control strategy used for the WECS. In this work, pitch control is used to analyse dynamic mode of WECS. In order to validate the proposed control strategy, the system's main components are modelled and simulations have been performed in Matlab/Simulink/ SimPowerSystems software to confirm the 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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.870

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 head0.006
GPT teacher head0.167
Teacher spread0.161 · 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
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

Citations5
Published2015
Admission routes1
Has abstractyes

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