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Record W2156274634 · doi:10.1109/pesc.2004.1355102

Real-time simulator for medium voltage drives fed by current source inverter

2004· article· en· W2156274634 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

Venue2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551) · 2004
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsReal Time Digital SimulatorDSPACEReal-time simulationComputer scienceSimulationController (irrigation)InverterVoltageSolverComputer architecture simulatorTransient (computer programming)Interpolation (computer graphics)Power (physics)Electric power systemEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

A real-time simulator is developed for high power medium-voltage (2.3-13.8 kV) current source inverter fed drive system. A novel dynamic model of a CSI drive system is presented. This model is simple, accurate and reliable, specifically developed for real-time simulation. A simplified trapezoidal integration algorithm is proposed as a state-space equation solver to reduce the computational time. An interpolation method is introduced to correct errors caused by the lack of synchronization between the real-time simulator and the digital controller. The dSPACE rapid prototyping system is employed as a real-time simulator where the simulation algorithm is implemented in real time. It is demonstrated by the simulation and experiment that the realtime simulator proposed in this paper can replace the physical drive system for digital controller testing.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.235
Teacher spread0.228 · 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