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Record W2944626160 · doi:10.1109/pedes.2018.8707625

A Four-Quadrant Three-Phase AC-DC Converter for Virtual Electric Traction Machine

2018· article· en· W2944626160 on OpenAlexaff
Arvind H. Kadam, Rishi Menon, Sheldon S. Williamson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsComputer scienceThree-phaseDC motorTraction motorTraction (geology)Topology (electrical circuits)Single-phase electric powerForward converterElectrical engineeringAC motorFlyback converterElectronic engineeringBoost converterAutomotive engineeringElectric motorVoltageEngineeringPower factorMechanical engineering

Abstract

fetched live from OpenAlex

Virtual electric traction machine (VETM) is a power electronic converter based system capable of emulating behavior of an electric motor. The widely used VETM systems in industrial drives testing environment, makes use of traditional two-stage AC-DC-AC converter. However, this multistage conversion requires DC link energy storage device as well as individual control algorithm. Hence, to simplify control and reduce number of converter stages, this paper proposes a three-phase AC-DC converter topology suitable for four-quadrant operation of VETM system. Unlike twelve switches in traditional AC-DC-AC converter, the proposed topology uses ten power semiconductor switches reducing switching losses. In this paper, a detailed operation of proposed converter is presented in along with simulation and experimental results for a 2 kW PMSM motor 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.

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 score0.973
Threshold uncertainty score0.621

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 head0.016
GPT teacher head0.255
Teacher spread0.238 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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