Title :
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
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;
Conference_Titel :
Power and Energy (PECon), 2012 IEEE International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-5017-4
DOI :
10.1109/PECon.2012.6450230
