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Record W2103556172 · doi:10.1109/ccece.2005.1557209

A new control algorithm for 3-phase PWM voltage source converters connected to the grid

2006· article· en· W2103556172 on OpenAlexaff
Ronan Thibault, Kamal Al‐Haddad, Louis‐A. Dessaint

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsControl theory (sociology)Reference frameRotating reference frameConvertersStationary Reference FramePulse-width modulationGridVector controlThree-phaseVoltageVoltage referenceComputer scienceInvariant (physics)Frame (networking)MathematicsControl (management)EngineeringPhysicsInduction motor

Abstract

fetched live from OpenAlex

This paper deals with the control of three-phase PWM voltage source converters connected to the grid. With the use of "field-oriented control", voltages and currents are usually transformed to the rotating d-q reference frame, where control becomes quite straightforward: because the current space vector in the rotating d-q reference frame is fixed, the PI controllers operate on dc, rather than sinusoidal signals. It is reported that one of the fundamental weakness of more classical control structures is the great difficulty in controlling the variables with sinusoidal references because of the limited ability of PI controllers to accurately track time varying inputs. This paper describes a new and simpler, but otherwise equivalent control technique which solves this problem without the burden of transforming time-dependent three-phase quantities into the time invariant d-q reference frame and vice versa. This new control structure is based on a complex controller (i.e. with real and imaginary parts), which achieves zero steady-state error by controlling the current space vector directly in the stationary d-q reference frame. The mathematical equivalence with field-oriented control is fully demonstrated. Simulation results are also presented which clearly show the indistinguishability of the two control systems

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: Methods · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score0.427

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 head0.003
GPT teacher head0.183
Teacher spread0.181 · 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
GenreMethods

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
Published2006
Admission routes1
Has abstractyes

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