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A Novel State-Feedback Controller for Permanent Magnet Synchronous Machines

2023· article· en· W4392943835 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSensorless Control of Electric Motors
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsControl theory (sociology)MagnetComputer scienceController (irrigation)Permanent magnet synchronous generatorState (computer science)Synchronous motorControl engineeringEngineeringElectrical engineeringControl (management)Artificial intelligence

Abstract

fetched live from OpenAlex

This paper presents a state feedback controller for speed control for permanent magnet synchronous motor (PMSM) drives. Both surface and interior PMSMs (i.e., SPMSM and IPMSM) have been considered. The state feedback gain in the proposed method is tuned based on the pole placement method, where the locations of the system poles are selected with respect to the desired control bandwidth. The proposed control method achieves the decoupling of q- and d- axes currents without linearization in the entire speed range. The performance of the proposed control method for load-torque rejection is compared against two widely used PI-based control methods, i.e., active damping and 2-degree-of-freedom techniques. It is verified that the proposed state-feedback control method achieves superior performance (e.g., reduced over/under-shoot in transients) for control of PMSMs compared to the PI-based methods.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.777

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.217
Teacher spread0.207 · 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

Quick stats

Citations4
Published2023
Admission routes1
Has abstractyes

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