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Record W2610342283 · doi:10.1109/pedes.2016.7914245

Power control strategy for fixed-pitch PMSG-based hydrokinetic turbine

2016· article· en· W2610342283 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsConcordia University
Fundersnot available
KeywordsControl theory (sociology)TurbineMaximum power principleDuty cyclePermanent magnet synchronous generatorMaximum power point trackingPower controlPower (physics)Inner loopVoltageEngineeringComputer scienceElectrical engineeringPhysicsControl (management)Inverter

Abstract

fetched live from OpenAlex

This paper presents a power control strategy for a fixed-pitch cross-flow hydrokinetic turbine (HKT) which operates at low rotational speed region (stall region) and maximum power point tracking. The suggested system uses a permanent magnet synchronous generator (PMSG), a diode rectifier, a boost DC-DC converter which is connected to a DC microgrid. Power control of the HKT is obtained by controlling the duty cycle of the boost DC-DC converter. This method employs an inner voltage loop to stabilize the system in the stall region and an outer power control loop to regulate the diode rectifier DC-link power. The suggested control strategy has the capability to adjust the HKT output power from zero to maximum available power for the complete operating range up to the cut-out water speed. The control system is designed and developed based on a linearized model of the system. The proposed strategy is experimentally verified with an electromechanical-based HKT emulator.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score0.767

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 head0.204
Teacher spread0.196 · 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

Quick stats

Citations10
Published2016
Admission routes1
Has abstractyes

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