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,...
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: | |
Online Access: | https://ieeexplore.ieee.org/document/9804715/ |
Similar Items
-
Position Sensorless Vector Control System for Lawnmower Permanent Magnet Synchronous Motor Based on Extended Kalman Filter
by: Dongri Shan, et al.
Published: (2024-03-01) -
Research on Permanent Magnet Synchronous Motor Control System Based on Adaptive Kalman Filter
by: Jiadong Cui, et al.
Published: (2022-05-01) -
Unscented Kalman Estimator for Estimating the State of Two-phase Permanent Magnet Synchronous Motor
by: Ayad Qasim Hussein
Published: (2010-07-01) -
Sensorless control of marine permanent magnet synchronous propulsion motor based on adaptive extended Kalman filter
by: Zaifa Chen, et al.
Published: (2022-11-01) -
State Estimation of Two-Phase Permanent Magnet Synchronous Motor
by: Amjed J. Hamidi, et al.
Published: (2009-05-01)