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Record W4285304915 · doi:10.1109/tie.2022.3183275

Induced Current Reduction in Position-Sensorless SRM Drives Using Pulse Injection

2022· article· en· W4285304915 on OpenAlex
Dianxun Xiao, Jin Ye, Gaoliang Fang, Zekun Xia, Haomin Li, Xueqing Wang, Babak Nahid‐Mobarakeh, Ali Emadi

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Industrial Electronics · 2022
Typearticle
Languageen
FieldEngineering
TopicElectric Motor Design and Analysis
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Excellence Research Chairs, Government of Canada
KeywordsControl theory (sociology)Switched reluctance motorAmplitudeRotor (electric)Pulse (music)IdlePosition (finance)TorquePulse-width modulationVoltagePhase (matter)Reduction (mathematics)Machine controlComputer scienceEngineeringPhysicsMathematicsControl engineeringControl (management)Electrical engineering

Abstract

fetched live from OpenAlex

This article proposes a new pulse injection scheme for low-speed position-sensorless switched reluctance motor (SRM) drives with the reduced induced current. Conventional injection methods utilize a constant injection amplitude for position estimation; however, the induced current in idle phases nonlinearly varies with the rotor position and has significant magnitude. It results in large negative torque and degrades the control performance. To mitigate this problem, an injection amplitude regulator based on terminal sliding-mode control is put forward. The amplitude of pulse voltages is adjusted online through a nonlinear control law, and the induced current can be maintained at a minimal level over the whole idle-phase period. Moreover, the adverse impacts of motor parameter uncertainties are eliminated. As a result, the proposed scheme does not require SRM's magnetic characteristics and is easy to implement. The effectiveness was experimentally validated on a three-phase 12/8 SRM setup with comparisons of the conventional method.

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)
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 score0.148
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.036
GPT teacher head0.253
Teacher spread0.218 · 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