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RDF description of Comparison of two nonlinear speed observers for induction motors - http://orbis.uaslp.mx/vivo/individual/scopus8112
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date: 2026-08-27T06:29:02
publisher: vivo
type: Document

IECON Proceedings (Industrial Electronics Conference)
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publication venue for: Comparison of two nonlinear speed observers for induction motors
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type: Proceedings
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Article
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Comparison of two nonlinear speed observers for induction motors
type: Generically Dependent Continuant
related by: authorship_52466
origen: scopus
page end: 804
artnum: 4153534
most specific type: Document
type: Document
EI dscopus: 2-s2.0-50249112227
type: Entity
estado: published
date time value: conference paper date 8113
abstract: In this paper, the performances of two rotor flux and speed estimation methods used in speed sensorless vector controllers of induction motors are compared. Both Kalman Filter (KF) and Model Reference Adaptive System (MRAS) are the estimation methods discused and compared at the same conditions. The comparative study is done by means of stability, sensitivity to parameter variation and behavior in the low speed region taking into account the drawbacks inherent to this operating condition. Computer simulations and experimental tests have been carried out in identical conditions in order to realize a reliable comparison. ©2006 IEEE.
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related by: authorship_52468
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page start: 799
has publication venue: IECON Proceedings (Industrial Electronics Conference)
crisid: 8113
type: Article
related by: authorship_52467
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type: Conference Paper
freetext keyword: AC motors; Adaptive systems; Computational methods; Computer simulation; Control theory; Electronics industry; Estimation; Industrial electronics; Motors; Sensitivity analysis; Speed; Annual conference; Comparative studies; Computer simulations; Estimation methods; Experimental testing; Identical conditions; Low speed; Model reference adaptive system; Operating conditions; Parameter variations; Rotor fluxes; Speed estimation; Speed observers; Speed sensor-less; Vector controllers; Induction motors
doi: 10.1109/IECON.2006.347841
most specific type: Conference Paper

Information Content Entity
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Conference Paper
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