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Record W4254330628 · doi:10.1109/07ias.2007.257

A Novel Fuzzy Logic Controller Based Torque and Flux Controls of IPM Synchronous Motor

2007· article· en· W4254330628 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

VenueConference record · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced Algorithms and Applications
Canadian institutionsLakehead University
Fundersnot available
KeywordsControl theory (sociology)DSPACETorqueRobustness (evolution)Direct torque controlComputer scienceMotor driveVoltageFuzzy logicElectronic speed controlEngineeringControl engineeringInduction motorElectrical engineeringPhysicsControl (management)

Abstract

fetched live from OpenAlex

This paper presents a novel fuzzy logic controller (FLC) based wide speed range operation of interior permanent- magnet synchronous motor (IPMSM) drives. The proposed FLC is designed in such a way that it can simultaneously control both torque and flux of the motor while maintaining current and voltage constraints. Thus, a stand alone FLC is utilized whose outputs are d and q- axes currents. The proposed FLC is designed based on conventional maximum torque per ampere operation below the rated speed and the field weakening operation above the rated speed. The complete IPMSM drive is experimentally implemented utilizing dSPACE DSP board DS1104 for a prototype 5 hp motor. The performance of the proposed drive is tested both in simulation and experiment at different operating conditions. The robustness of the controller and its prospective real-time industrial drive application is evidenced by the results.

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 score0.921
Threshold uncertainty score0.527

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 head0.016
GPT teacher head0.241
Teacher spread0.225 · 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