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Record W2135125913 · doi:10.1109/iecon.1990.149299

Some implementation aspects of line current reconstruction in three phase PWM inverters

2002· article· en· W2135125913 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSensorless Control of Electric Motors
Canadian institutionsConcordia University
FundersConcordia University
KeywordsWaveformPulse-width modulationComputer scienceElectronic engineeringModulation (music)Phase (matter)SIGNAL (programming language)AmplitudeCurrent (fluid)AlgorithmControl theory (sociology)EngineeringVoltageElectrical engineeringArtificial intelligencePhysicsTelecommunicationsAcoustics

Abstract

fetched live from OpenAlex

A method of motor current reconstruction that can be applied with all pulsewidth-modulation (PWM) schemes is discussed. The method is well suited to implementation with digital signal processors (DSPs) or application specific integrated circuits (ASICs). It is based on system variable identification by means of the least-squares method. It is shown that a sinusoidal current waveform of known frequency can be reconstructed accurately for all operating conditions from data sampled on the DDC bus. In particular, the amplitude and phase shifts of the sinusoidal waveform are obtained by combining information from the DC link current and the switching pattern. A sinusoidal PWM switching scheme is used to test the algorithm. Simulated and experimental results are presented.< <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.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.982
Threshold uncertainty score0.415

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 head0.026
GPT teacher head0.269
Teacher spread0.242 · 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

Citations21
Published2002
Admission routes2
Has abstractyes

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