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Record W2144470020 · doi:10.1109/cdc.1998.760826

Passivity property of induction motors from the power supply: towards a new framework of stability analysis and control for power distribution systems

2002· article· en· W2144470020 on OpenAlexaff
N. Léchevin, Pierre Sicard, Ziwen Yao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsNatural Sciences and Engineering Research Council of CanadaUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsControl theory (sociology)PassivityRotor (electric)Induction motorRectifier (neural networks)InverterPower (physics)EngineeringVoltageComputer sciencePhysicsElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

To develop a tool to analyze stability and design compensators that damp voltage oscillations in a power distribution system, we devised, taking into account the diode rectifier and the IGBT/GTO inverter, a control scheme so that the motor is seen as a passive load by the network. This property is obtained for the error signals (voltage, current) resulting from perturbations. For a constant rotor speed set point, a rotor flux trajectory has been computed for the system to satisfy the passivity definition and to guarantee the signal boundedness and asymptotic stability for the rotor flux and 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.752
Threshold uncertainty score0.247

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 head0.009
GPT teacher head0.185
Teacher spread0.176 · 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
Published2002
Admission routes1
Has abstractyes

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