Force Ripple Estimation and Compensation of PMLSM With Incremental Extended State Modeling-Based Kalman Filter: A Practical Tuning Method

Force Ripple Estimation and Compensation of PMLSM With Incremental Extended State Modeling-Based Kalman Filter: A Practical Tuning Method

This paper focuses on the force ripple estimation and compensation with the Kalman filter for the permanent magnet linear synchronous machine (PMLSM). The force ripple dynamics is firstly modeled as a higher-order integrator subsystem with fully considering its inherent nonlinear and time-varying ch...

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Bibliographic Details
Main Authors: Rui Yang, Li-Yi Li, Ming-Yi Wang, Cheng-Ming Zhang, Yi-Ming Zeng-Gu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Extended state
force ripple
Kalman filter
linear motor
model identification
parameter tuning
Online Access:https://ieeexplore.ieee.org/document/8790691/

Internet

https://ieeexplore.ieee.org/document/8790691/

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