Title :
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
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;
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
DOI :
10.1109/PEDES.2006.344355
