Document
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2004 1st International Conference on Electrical and Electronics Engineering, ICEEE
type: Continuant
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publication venue for: Identification of induction motor parameter using an Extended Kalman Filter
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type: Generically Dependent Continuant
type: Proceedings
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Continuant
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Identification of induction motor parameter using an Extended Kalman Filter
freetext keyword: Extended Kalman Filter; Induction motors; Parameters identification Algorithms; Identification (control systems); Kalman filtering; Parameter estimation; Real time systems; Extended Kalman filters (EKF); Induction motor parameters; Real-time estimation; Induction motors
related by: authorship_48708
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type: Article
date time value: conference paper date 7624
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type: Document
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has publication venue: 2004 1st International Conference on Electrical and Electronics Engineering, ICEEE
type: Generically Dependent Continuant
related by: authorship_48706
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related by: authorship_48707
abstract: This paper presents a method for the real-time estimation of parameters and unmeasured states using an Extended Kalman Filter (EKF). The EKF is based on a numerically stable model of the induction motor. The algorithm can be used to adapt parameters that vary with time and for estimation of the rotor fluxes. Experimental results to show the ability of the algorithm to estimate the motor states and parameters are presented. © 2004 IEEE.
estado: published
origen: scopus
crisid: 7624
page start: 584
most specific type: Conference Paper
related by: authorship_48705
most specific type: Document
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EI dscopus: 2-s2.0-24644515749
page end: 588

Generically Dependent Continuant
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RDF description of Identification of induction motor parameter using an Extended Kalman Filter - http://orbis.uaslp.mx/vivo/individual/scopus7623
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date: 2026-08-28T03:02:40
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Article
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Conference Paper
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