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
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;
Conference_Titel :
Industrial Electronics (ISIE), 2010 IEEE International Symposium on
Conference_Location :
Bari
Print_ISBN :
978-1-4244-6390-9
DOI :
10.1109/ISIE.2010.5637887
