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Power Hardware-in-the-Loop based Emulation of an Open-Winding Permanent Magnet Machine

2020· article· en· W3095177390 on OpenAlex
K. S. Amitkumar, Pragasen Pillay

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
TopicReal-time simulation and control systems
Canadian institutionsConcordia University
Fundersnot available
KeywordsEmulationHarmonicsWinding machineController (irrigation)Fault (geology)Power (physics)Computer scienceInverterMotor driveMachine controlEngineeringControl engineeringElectrical engineeringVoltage

Abstract

fetched live from OpenAlex

Open-winding permanent magnet (PM) motors are increasingly being used in electric drive systems due to several advantages over traditional PM motors such as a wider speed range of operation, and improved fault tolerance. Novel testing techniques such as power hardware-in-the loop (PHIL) based machine emulation can be used to expedite the testing of new motor topologies such as the open-winding PM motor. This paper investigates the emulation of an open-winding PM machine. In order to control or suppress lower order harmonics resulting due to the emulated machine back-emf, current controllers are proposed in this paper. These proposed controllers, used for the driving inverter and the machine emulator, use multiple resonant controllers in combination with proportional-integral (PI) controllers to achieve control over emulated current harmonics of interest. Experimental results are presented to validate the performance of the proposed current controller and also highlight the utility of the developed machine emulator system to emulate various operating conditions of the open-winding PM machine.

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 categoriesInsufficient payload (model declined to judge)
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 score0.175
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.248
Teacher spread0.229 · 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

Citations7
Published2020
Admission routes1
Has abstractyes

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