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Record W2163698039 · doi:10.1109/pes.2004.1373064

Control of interior type PM synchronous motor for high speed operations

2004· article· en· W2163698039 on OpenAlexaff
M. Nasir Uddin

Bibliographic record

VenueIEEE Power Engineering Society General Meeting, 2004. · 2004
Typearticle
Languageen
FieldEngineering
TopicSensorless Control of Electric Motors
Canadian institutionsLakehead University
Fundersnot available
KeywordsElectronic speed controlControl theory (sociology)Controller (irrigation)Digital signal processorTorqueComputer sciencePower (physics)Digital signal processingInverterDirect torque controlSynchronous motorVector controlControl engineeringEngineeringControl (management)Induction motorElectrical engineeringComputer hardwareVoltage

Abstract

fetched live from OpenAlex

This paper presents a novel fuzzy logic controller (FLC) based high speed operation of an interior permanent magnet synchronous motor (IPMSM) for high performance industrial drive applications. In the proposed control scheme for high speed operations above the rated speed, the operating limits of IPMSM are expanded by incorporating the maximum torque per ampere (MTPA) operation in constant torque region and the flux-weakening (FW) operation in constant power region. The power ratings of the motor and the inverter are considered in developing the control algorithm. A new and simple FLC is developed to utilize as a speed controller. The FLC is developed to have less computational burden, which makes it suitable for realtime implementation, particularly at high speed conditions. The complete drive is implemented in real-time using digital signal processor (DSP) controller board DS 1102 on a laboratory 1 hp motor. The efficacy of the proposed control scheme is evaluated by both experimental and simulation results. The proposed controller is found to be a robust for high speed 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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
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 head0.005
GPT teacher head0.203
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
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

Citations0
Published2004
Admission routes1
Has abstractyes

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