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Record W2109351715 · doi:10.1109/ccece.2000.849726

An approach for real-time simulation of electric drives

2002· article· en· W2109351715 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
TopicReal-time simulation and control systems
Canadian institutionsHydro-QuébecÉcole de Technologie Supérieure
Fundersnot available
KeywordsComputer scienceController (irrigation)Control engineeringReal-time simulationElectric power systemState (computer science)Power (physics)Variable (mathematics)State spaceModeling and simulationLine (geometry)MultiprocessingSimulationEngineeringAlgorithm

Abstract

fetched live from OpenAlex

This paper investigates simulation techniques which differ widely from those actually used in real-time simulation of large power systems. The objective is to simulate electric drives in real-time, in order to provide drive designers with a tool which would allow them to design and prototype the controller stage of high power drives without actually needing the cumbersome power source, converter and machine. The fundamental differences between the simulation of drives and large power systems are identified. This motivates investigation of a modeling technique based on the state variable approach (SVA). An integration algorithm is then proposed to solve the state space equations. Off-line results of a case study are presented, after which limitations and applicability of this method are presented and implementation issues on a multiprocessor computer are discussed.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score0.314

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 head0.013
GPT teacher head0.228
Teacher spread0.215 · 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

Citations11
Published2002
Admission routes1
Has abstractyes

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