DocumentCode :
2842924
Title :
Estimation of Winding Resistance and PM Flux-Linkage in Brushless AC Machines by Reduced-Order Extended Kalman Filter
Author :
Zhu, Z.Q. ; Zhu, X. ; Sun, P.D. ; Howe, D.
Author_Institution :
Sheffield Univ., Sheffield
fYear :
2007
fDate :
15-17 April 2007
Firstpage :
740
Lastpage :
745
Abstract :
Simplified reduced-order extended Kalman filter (EKF) models for a surface-mounted permanent magnet brushless AC motor are developed to estimate its winding resistance and flux-linkage due to permanent magnets, and potentially, the stator winding and rotor magnet temperature rises. Two reduced-order EKF models are presented based on the sensorless and sensored operation of rotor position and speed, respectively, and the corresponding simulated results are compared. Excellent agreement is achieved between the estimated and actual values.
Keywords :
AC motor drives; Kalman filters; brushless machines; magnetic flux; nonlinear filters; permanent magnet motors; power filters; rotors; stators; PM flux-linkage estimation; brushless AC machines; reduced-order extended Kalman filter; rotor magnet temperature; stator winding; surface-mounted permanent magnet brushless AC motor; winding resistance estimation; AC machines; AC motors; Aerospace control; Machine windings; Magnetic separation; Mathematical model; Permanent magnets; Rotors; Stator windings; Surface resistance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2007 IEEE International Conference on
Conference_Location :
London
Print_ISBN :
1-4244-1076-2
Electronic_ISBN :
1-4244-1076-2
Type :
conf
DOI :
10.1109/ICNSC.2007.372872
Filename :
4239085
Link To Document :
بازگشت