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Comparative Analysis of Controls in Permanent Magnet Synchronous Generator-Based Wind Turbines

2024· article· en· W4401687103 on OpenAlexaff
Emad M. Elhaji, Shichao Liu, Hicham Chaoui

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsPermanent magnet synchronous generatorWind powerMagnetWind generatorGenerator (circuit theory)Automotive engineeringShunt generatorElectrical engineeringComputer scienceEnvironmental sciencePhysicsEngineeringPower (physics)

Abstract

fetched live from OpenAlex

Nowadays, wind energy is becoming increasingly popular among primary energy sources, and wind turbines have been in high demand in previous years. This paper studies the permanent magnet synchronous generator (PMSG) wind turbine due to its high ratio torque to its inertia, dense power capacity, gearless design, and more efficiently at low rotation speeds with less maintenance. Extracting power from the wind turbines and injecting it into the grid is the responsibility of the power converter controller. This paper presented three types of control for PMSG-based wind turbines: field-oriented control (FOC), direct current control (DCC), and model predictive control (MPC). This research involves the dynamic behavior of wind turbine with PMSG for each control strategy under different wind speeds and prediction horizons. Detailed models of the PMSG-based wind turbine are simulated in MATLAB/ SIMULINK. The results highlighted the performance of the three types of controls against changes in wind speed.

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 score0.087
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.010
GPT teacher head0.234
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.

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

Citations4
Published2024
Admission routes1
Has abstractyes

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