Observer Based Position and Speed Estimation of Interior Permanent Magnet Motor

Author

Singh, Bhim ; Gaur, Prerna ; Mittal, A.P.

Author_Institution

Electr. Eng. Dept., IIT, New Delhi

fYear

2006

fDate

12-15 Dec. 2006

Firstpage

1

Lastpage

5

Abstract

This paper presents position sensorless interior permanent magnet synchronous motor drive using a discretized extended kalman filter algorithm (EKF). An observer based speed estimator which can be used for the state estimation of a non linear dynamic system in real time is presented here. Speed and position estimation of IPM is simulated using MATLAB and results of step variation in speed, load perturbation and flux weakening are presented to substantiate the proposed estimation of the speed.

Keywords

Kalman filters; machine control; parameter estimation; permanent magnet motors; synchronous motor drives; EKF; MATLAB; discretized extended kalman filter algorithm; flux weakening; interior permanent magnet synchronous motor drive; linear dynamic system; load perturbation; position estimation; sensorless control; speed estimation; state estimation; AC motors; DC motors; Magnetic sensors; Mathematical model; Observers; Permanent magnet motors; Rotors; Sensorless control; State estimation; Torque; Extended Kalman Filter algorithm (EKF); Interior Permanent Magnet Synchronous Motor (IPM); Sensorless control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics, Drives and Energy Systems, 2006. PEDES '06. International Conference on

Conference_Location

New Delhi

Print_ISBN

0-7803-9772-X

Electronic_ISBN

0-7803-9772-X

Type

conf

DOI

10.1109/PEDES.2006.344355

Filename

4147850