An optimized Extended Kalman Filter for speed sensorless direct troque control of an induction motor

Author

Alsofyani, I.M. ; Idris, Norisma ; Sutikno, Tole ; Alamri, Y.A.

Author_Institution

UTM-PROTON Future Drive Lab., Univ. Teknol. Malaysia, Skudai, Malaysia

fYear

2012

fDate

2-5 Dec. 2012

Firstpage

319

Lastpage

324

Abstract

This paper presents a new approach of optimizing the performance of an Extended Kalman Filter (EKF) using particle swarm optimization (PSO) for speed estimation of an induction motor drive. The development of the EKF algorithm and selection of the filter covariance for the EKF based speed estimation are presented and discussed. The effectiveness of the optimization technique is verified through Matlab/Simulink simulation of a direct torque control (DTC) drive system under various operating conditions.

Keywords

Kalman filters; angular velocity control; induction motor drives; nonlinear filters; particle swarm optimisation; sensorless machine control; torque control; DTC drive system; EKF algorithm; Matlab-Simulink simulation; PSO; filter covariance selection; induction motor drive; optimized extended Kalman filter; particle swarm optimization; speed estimation; speed sensorless direct torque control; Covariance matrix; Estimation; Induction motors; Kalman filters; Resistance; Rotors; Stators; DTC; EKF; direct torque control; induction motor; paricale pwarm optimization; speedsstimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy (PECon), 2012 IEEE International Conference on

Conference_Location

Kota Kinabalu

Print_ISBN

978-1-4673-5017-4

Type

conf

DOI

10.1109/PECon.2012.6450230

Filename

6450230