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Record W2974440614 · doi:10.1109/syscon.2019.8836754

Brushless DC Motor Speed Control Based on Advanced Sliding Mode Control (SMC) Techniques

2019· article· en· W2974440614 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

Venue2019 IEEE International Systems Conference (SysCon) · 2019
Typearticle
Languageen
FieldEngineering
TopicSensorless Control of Electric Motors
Canadian institutionsQueen's University
Fundersnot available
KeywordsControl theory (sociology)DC motorPID controllerElectronic speed controlSliding mode controlTorqueSettling timeComputer scienceController (irrigation)Control engineeringNoise (video)MATLABNonlinear systemEngineeringControl (management)Step responseArtificial intelligenceTemperature control

Abstract

fetched live from OpenAlex

Recently, the great advantages of the Brushless DC Motors (BLDCM) such as their simple design, high applied output force (torque), long term usage and speed stability encourage the designers to wide use these motors in various industries. Whilst, BLDC systems are characterized by their uncertainties and non-linearity. One of the famous control techniques in handling nonlinear and uncertain systems is the Sliding Mode Control (SMC). The main contribution in this paper is applying advanced SMC techniques such as adaptive SMC and fuzzy SMC approaches for effective speed regulation of BLDCM in the absence and presence of external load. The simulation performance of speed regulation for BLDCM using the designed approaches is compared with a classical Proportional-Integral-Derivative (PID) controller to validate the success of the proposed advanced SMC techniques in improving the system characteristics (settling time, steady state error, rise time and disturbance & noise rejection). Our simulations run under the umbrella of MATLAB 2017.

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), Insufficient payload (model declined to judge)
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 score0.608
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.011
GPT teacher head0.239
Teacher spread0.228 · 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