DocumentCode
3127406
Title
Robustness analysis of an Extended Kalman Filter for sensorless control of induction motors
Author
Alonge, F. ; Ippolito, F.D.
Author_Institution
Dipt. di Ing. dell´´Autom. e dei Sist., Univ. of Palermo, Palermo, Italy
fYear
2010
fDate
4-7 July 2010
Firstpage
3257
Lastpage
3263
Abstract
This paper deals with robustness analysis of Extended Kalman Filters (EKFs) for sensorless motion control of induction motors. Analysis is carried out by means of simulation experiments considering a conventional EKF, in which system and measurement noise covariance matrices are constant, and an adaptive EKF in which the system noise covariance matrix is updated on-line using a PID-type algorithm driven by the stator current estimation errors.
Keywords
Kalman filters; angular velocity control; induction motors; motion control; sensorless machine control; stators; three-term control; PID type algorithm; extended Kalman filter; induction motors; measurement noise covariance matrix; sensorless control; sensorless motion control; stator current estimation error; Covariance matrix; Induction motors; Mathematical model; Noise; Rotors; Stators; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics (ISIE), 2010 IEEE International Symposium on
Conference_Location
Bari
Print_ISBN
978-1-4244-6390-9
Type
conf
DOI
10.1109/ISIE.2010.5637887
Filename
5637887
Link To Document