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Record W4232518255 · doi:10.1109/ias.1988.25069

A high performance parameter insensitive drive using a series-connected wound rotor induction motor

2003· article· en· W4232518255 on OpenAlexaff
E. Ho, P.C. Sen

Bibliographic record

VenueConference Record of the 1988 IEEE Industry Applications Society Annual Meeting · 2003
Typearticle
Languageen
FieldEngineering
TopicSensorless Control of Electric Motors
Canadian institutionsQueen's University
Fundersnot available
KeywordsControl theory (sociology)Decoupling (probability)ResolverLinearizationTorqueInduction motorWound rotor motorComputer scienceControl engineeringRotor (electric)EngineeringPhysicsArtificial intelligenceControl (management)VoltageNonlinear systemElectrical engineering

Abstract

fetched live from OpenAlex

A parameter-insensitive speed drive system which utilizes outer-loop sliding-mode control and inner-loop decoupling control of a series-connected wound-rotor induction machine (SCWRIM) is presented. The methods of decoupling control and torque linearization for the SCWRIM are outlined. Sliding-mode control with cascaded integral operation is applied to provide invariant speed responses, improved steady-state accuracy, and reduced torque chattering. The scheme is implemented using a resolver-based system for speed and position sensing. The parameter-insensitive characteristics are demonstrated through computer simulations and experimental verification.< <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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.021
GPT teacher head0.227
Teacher spread0.207 · 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.

Study designBench or experimental
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
Published2003
Admission routes1
Has abstractyes

Explore more

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