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Adaptive Voltage Controller for Flux-weakening Operation in PMSM Drives

2021· article· en· W3214096402 on OpenAlex
Zisui Zhang, 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSensorless Control of Electric Motors
Canadian institutionsMcMaster University
Fundersnot available
KeywordsControl theory (sociology)Voltage controllerVoltageDisturbance voltageVoltage dividerDropout voltageController (irrigation)Voltage referenceVoltage regulatorComputer scienceVoltage regulationInverterVoltage droopEngineeringControl (management)Electrical engineering

Abstract

fetched live from OpenAlex

An adaptive gain for voltage controller in fluxweakening control of permanent magnet synchronous motor (PMSM) is proposed. Based on voltage angle control scheme, voltage feedback controller can adjust control current locus and utilize the DC link voltage in flux-weakening region. The voltage controller is controlled using the difference between voltage reference magnitude and and a proper inverter limit value. The analysis of voltage controller is carried out, taking into account of modulation delay to issue the compensation performance with different voltage feedback gains from difference PMSM operating conditions. The adaptive gain of voltage controller is applied with forward feedback voltages and current vector to improve dynamic response with smaller voltage errors. The results of verification on a 7-kW PMSM platform demonstrate the effectiveness of the proposed 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 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 score0.805
Threshold uncertainty score0.525

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 head0.211
Teacher spread0.200 · 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
Published2021
Admission routes1
Has abstractyes

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