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Record W2143016494 · doi:10.1109/apec.1994.316357

A high performance voltage-regulated CSI AC induction motor drive

2002· article· en· W2143016494 on OpenAlexaff
G. Joós, José Espinoza

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsConcordia University
Fundersnot available
KeywordsTopology (electrical circuits)InverterInduction motorComputer scienceElectromagnetic coilVoltageArmature (electrical engineering)Thyristor driveControl theory (sociology)AC motorElectrical engineeringEngineeringControl (management)

Abstract

fetched live from OpenAlex

AC adjustable speed drives employ mostly a voltage source inverter (VSI) to control the motor armature, despite the inherent advantages of the current source inverter (CSI) topology. This is partly due to the current source nature of the topology and the complexity of the controls required, the voltage source being a more universal power supply and being easier to control. This paper demonstrates that a voltage-regulated CSI offers the same features as its VSI counterpart, together with the added advantages inherent in the CSI topology, namely suppression of high dv/dt across motor windings, built-in short-circuit protection, natural power reversibility and high reliability. A constant V/f scalar speed controller is implemented in this paper to illustrate the high steady state and dynamic performances offered by the topology. Its flexibility also allows for increased system efficiency and output voltage quality. Simulation results are given for a 5 kW induction motor drive.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.966
Threshold uncertainty score0.999

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)0.0020.001

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 head0.013
GPT teacher head0.171
Teacher spread0.159 · 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.

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

Citations7
Published2002
Admission routes1
Has abstractyes

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