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Record W2116122772 · doi:10.1109/apec.2008.4522863

LQR-Based Stator Field Oriented Control for the Induction Motor Drives

2008· article· en· W2116122772 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
TopicSensorless Control of Electric Motors
Canadian institutionsQueen's University
Fundersnot available
KeywordsControl theory (sociology)Vector controlStatorLinear-quadratic regulatorInduction motorTransient (computer programming)Reference frameComputer scienceTorqueController (irrigation)Control engineeringDirect torque controlMachine controlFrame (networking)EngineeringVoltageControl (management)Physics

Abstract

fetched live from OpenAlex

This paper introduces a new approach to the stator field oriented control of the induction motor (IM) drives. The scheme is based on the linear quadratic regulator (LQR) theory with preview. A state model suitable for voltage control is derived in the synchronous frame using vector method. An augmented error system is formulated to cure the adverse phenomena caused by modeling errors and disturbances. The synthesized controller stabilizes this error system asymptotically, achieving robust speed control and orientation of the stator flux vector. Furthermore, the speed reference and load torque signals are utilized via a supplementary preview control loop to improve the transient response of the controlled drive. Simulation and experimental results are provided to confirm the effectiveness of the proposed method.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.750
Threshold uncertainty score0.377

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 head0.010
GPT teacher head0.202
Teacher spread0.192 · 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

Citations6
Published2008
Admission routes1
Has abstractyes

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