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Record W3158856360 · doi:10.1177/1077546321989507

Application of passivity-based and sliding mode control of permanent magnet synchronous motor under controlled voltage

2021· article· en· W3158856360 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

VenueJournal of Vibration and Control · 2021
Typearticle
Languageen
FieldEngineering
TopicSensorless Control of Electric Motors
Canadian institutionsCegep de Sept Iles
Fundersnot available
KeywordsControl theory (sociology)PassivitySliding mode controlRobustness (evolution)Control engineeringMATLABLyapunov stabilitySynchronous motorVariable structure controlComputer scienceElectronic speed controlLyapunov functionPower electronicsContext (archaeology)EngineeringVoltageControl (management)Nonlinear systemPhysics

Abstract

fetched live from OpenAlex

Recent developments in electrical machines, power electronics, and control theories help the variable speed drive technology to offer precise speeds at every level of operation. In that same context, this study investigated on improving the performance of variable speed drive based on a permanent magnet synchronous motor by rejecting the external disturbance in speed control using the passivity-based control and sliding mode control approach. The sliding mode control approach is implemented with an exponential reaching law to improve the robustness of the system. Furthermore, a passivity-based q-axis current loop and d-axis current loop controllers are detailed. The system stability with the proposed scheme is mathematically proved using Lyapunov stability criteria. Simulation results are provided to demonstrate the superior properties of the proposed control method using MATLAB Simulink.

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 score0.918
Threshold uncertainty score0.595

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 head0.004
GPT teacher head0.201
Teacher spread0.197 · 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