Partial-Update Kalman Filter for Permanent Magnet Synchronous Motor Estimates Under Intermittent Data

Partial-Update Kalman Filter for Permanent Magnet Synchronous Motor Estimates Under Intermittent Data

The partial-update Kalman filter (PKF) is an extension of the Schmidt Kalman filter, which can improve the capabilities of the conventional extended Kalman filter for handling model uncertainties and nonlinearities. Herein, we adapt the PKF to estimate the states and parameters of electric machines,...

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Bibliographic Details
Main Authors: Ajay Pratap Yadav, Mohammadreza Davoodi, Nicholas R. Gans, Ali Davoudi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Estimation
Kalman filters
permanent magnet motors
system identification
Online Access:https://ieeexplore.ieee.org/document/9804715/

Internet

https://ieeexplore.ieee.org/document/9804715/

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