An extended Kalman filter based speed and position estimator for Permanent Magnet Synchronous Motor

Author

Gopinath, G.R. ; Das, Shyama P.

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, Kanpur, India

fYear

2014

fDate

16-19 Dec. 2014

Firstpage

1

Lastpage

5

Abstract

An Extended Kaiman filter(EKF) based speed and position observer for a PMSM in low and medium speeds is presented in this paper. The estimator is used to control an IPMSM of 1.5 kW, 3000 rpm rating. EKF algorithm is implemented in the stationary αβ reference frame model for PMSM. Design considerations for the Extended Kalman Filter are presented, followed by simulation and experimental results for a VSI fed Interior Permanent Magnet Synchronous Motor (IPMSM). The PMSM is run in complete sensorless mode and the convergence of the EKF algorithm is shown for different arbitrary initial rotor positions.

Keywords

Kalman filters; angular velocity control; invertors; machine control; nonlinear filters; permanent magnet motors; position control; synchronous motors; EKF algorithm; IPMSM; VSI fed interior permanent magnet synchronous motor; extended Kalman filter based speed estimator; position estimator; Covariance matrices; Current measurement; Kalman filters; Mathematical model; Noise; Noise measurement; Rotors; EKF; Extended Kalman filter; PMSM;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics, Drives and Energy Systems (PEDES), 2014 IEEE International Conference on

Conference_Location

Mumbai

Print_ISBN

978-1-4799-6372-0

Type

conf

DOI

10.1109/PEDES.2014.7042145

Filename

7042145