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