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

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