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Sensorless Stator Flux Oriented Control of Induction Motors Using PLPF with Flux Error Compensator

Author:
Lee, Sangsoo
,
Park, Gihyoung
,
Jung, Myungkil
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICMA.2014.6885899
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1081495
Keyword(s): Lyapunov methods,n asymptotic stability,n control system synthesis,n hydrodynamics,n neurocontrollers,n numerical analysis,n robust control,n ships,n trajectory control,n uncertain systems,n variable structure systems,n Lyapunov stability theorem,n adaptive estimation law,n closed system asymptotic stability property,n neural network robust control,n nonlinear uncertainties hydrodynamics estimation,n numerical simulations,n ship trajectory track
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    Sensorless Stator Flux Oriented Control of Induction Motors Using PLPF with Flux Error Compensator

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contributor authorLee, Sangsoo
contributor authorPark, Gihyoung
contributor authorJung, Myungkil
date accessioned2020-03-12T22:23:38Z
date available2020-03-12T22:23:38Z
date issued2014
identifier other7007128.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1081495?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleSensorless Stator Flux Oriented Control of Induction Motors Using PLPF with Flux Error Compensator
typeConference Paper
contenttypeMetadata Only
identifier padid8217979
subject keywordsLyapunov methods
subject keywordsn asymptotic stability
subject keywordsn control system synthesis
subject keywordsn hydrodynamics
subject keywordsn neurocontrollers
subject keywordsn numerical analysis
subject keywordsn robust control
subject keywordsn ships
subject keywordsn trajectory control
subject keywordsn uncertain systems
subject keywordsn variable structure systems
subject keywordsn Lyapunov stability theorem
subject keywordsn adaptive estimation law
subject keywordsn closed system asymptotic stability property
subject keywordsn neural network robust control
subject keywordsn nonlinear uncertainties hydrodynamics estimation
subject keywordsn numerical simulations
subject keywordsn ship trajectory track
identifier doi10.1109/ICMA.2014.6885899
journal titleehicle Power and Propulsion Conference (VPPC), 2014 IEEE
filesize1219367
citations0
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