Comparative Study of an EKF-Based Parameter Estimation and a Nonlinear Optimization-Based Estimation on PMSM System Identification

In this study, two different parameter estimation algorithms are studied and compared. Iterated EKF and a nonlinear optimization algorithm based on on-line search methods are implemented to estimate parameters of a given permanent magnet synchronous motor whose dynamics are assumed to be known and n...

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Bibliographic Details
Published in:	Energies
Main Authors:	Artun Sel, Bilgehan Sel, Umit Coskun, Cosku Kasnakoglu
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Subjects:	EKF nonlinear optimization parameter estimation state estimation system identification
Online Access:	https://www.mdpi.com/1996-1073/14/19/6108

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