Sensorless control of PMSM using an adaptively tuned SCKF

Sensorless control of PMSM using an adaptively tuned SCKF

This study reports the application of an adaptively tuned square-root Cubature Kalman filter (SCKF) for the speed and position estimation of a permanent magnet synchronous motor (PMSM) drive. The proposed estimator is observed to exhibit improved noise rejection characteristics as compared to the hi...

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Bibliographic Details
Main Authors: Gulur Raghavendra Gopinath, Prasad Das Shyama
Format: Article
Language:English
Published: Wiley 2019-04-01
Series:The Journal of Engineering
Subjects:
numerical stability
synchronous motor drives
permanent magnet motors
Kalman filters
nonlinear filters
Bayes methods
sensorless machine control
invertors
data acquisition
NI PCI-6221
National Instruments data acquisition system
square-root algorithm
adaptively tuned square-root cubature Kalman filter
PMSM
sensorless control
speed estimation
third degree spherical-radial cubature rule
position estimation
adaptively tuned SCKF
control algorithms
three-phase inverter-fed PMSM
nonlinear filter
general Bayesian estimation equation
multivariate moment integrals
CKF
improved noise rejection characteristics
permanent magnet synchronous motor drive
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8081

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8081

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