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Record W2168509965 · doi:10.1109/ccece.2006.277854

Nonlinear Control of Interior Permanent Magnet Synchronous Motor Incorporating Flux Control

2006· article· en· W2168509965 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 institutionsLakehead University
Fundersnot available
KeywordsBacksteppingRobustness (evolution)Control theory (sociology)TorqueNonlinear systemElectronic speed controlMATLABControl engineeringComputer scienceVector controlDirect torque controlRobust controlController (irrigation)Adaptive controlEngineeringInduction motorControl (management)VoltagePhysicsArtificial intelligenceElectrical engineering

Abstract

fetched live from OpenAlex

This paper presents a nonlinear controller based speed control of an IPMSM incorporating both torque and flux controls. An adaptive backstepping based control technique has been developed for an IPMSM, wherein system parameter variations as well as field control (I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">d</sub> ℡0) have been taken into account at the design stage of the controller. In order to test the performance of the proposed drive a complete simulation model has been developed using Matlab/Simulink. Then the performance of the drive has been investigated at different operating condition such as load change, sudden change of command speed, etc. The results show the robustness of the drive and indicate that it could be a potential candidate for real-time industrial drive applications, which is currently under way.

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 categoriesMeta-epidemiology (narrow)
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 score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.180
Teacher spread0.177 · 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

Citations8
Published2006
Admission routes1
Has abstractyes

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