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FUZZY LOGIC BASED POSITION CONTROL OF A PMSM SERVO DRIVE

2007· article· en· W2079784792 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueControl and Intelligent Systems · 2007
Typearticle
Languageen
FieldEngineering
TopicSensorless Control of Electric Motors
Canadian institutionsMemorial University of NewfoundlandLakehead University
Fundersnot available
KeywordsControl theory (sociology)Vector controlControl engineeringFuzzy logicServo driveController (irrigation)Position (finance)PID controllerComputer scienceServomechanismElectronic speed controlServo controlServoServomotorDigital signal processorEngineeringDigital signal processingControl (management)Induction motorTemperature controlArtificial intelligence

Abstract

fetched live from OpenAlex

This paper presents a novel fuzzy position controller (FPC) for an interior type permanent magnet synchronous motor (PMSM). The FPC is employed as an outermost control-loop in a closed-loop vector control scheme of PMSM drive. A synchronous frame proportional-integral (PI) controller is employed as an inner speed control loop. The controllers are designed based on the indirect field oriented control. The control scheme can be used for both position and speed control applications by enabling and disabling the position controller, respectively. The control scheme is implemented using Digital Signal Processor TMS320C31. The performance of the proposed control scheme for a PMSM servo-motor drive is investigated both theoretically and experimentally at different operating conditions. The performance of the proposed FPC is found robust for industrial applications.

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)0.001
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 score0.867
Threshold uncertainty score0.945

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.008
GPT teacher head0.206
Teacher spread0.198 · 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