Extended Kalman filter for speed sensor-less DTC based on DSP

Author

Ma, Xianmin ; Gui, Youlin

Author_Institution

Dept. of Autom. Eng., Xi´´an Univ. of Sci. & Technol., China

Volume

1

fYear

2002

fDate

2002

Firstpage

119

Abstract

The Kalman filter is a special kind of observer, which provides optimal filtering of the noises in measurement and inside the system if the covariance matrices of these noises are known. Extended Kalman filter (EKF) for speed sensor-less direct torque control (DTC) of induction motor drive system is presented in the paper. EKF is used to estimate stator flux and rotor speed for DTC, especially in low-speed condition. Besides, the real time implementation method of the control strategy based on fixed pointed digital signal processor (DSP) TMS320F240 is also given. Simulation and experimental results confirm the validity of the proposed estimation technique.

Keywords

Kalman filters; covariance matrices; digital signal processing chips; filtering theory; induction motor drives; machine control; noise; observers; optimisation; real-time systems; torque control; DSP; EKF; TMS320F240; covariance matrices; direct torque control; extended Kalman filter; induction motor drive system; measurement noise; observer; optimal filtering; speed sensorless DTC; system noise; Automation; Digital signal processing; Induction motor drives; Noise measurement; Nonlinear dynamical systems; Rotors; Sensor systems; Signal processing algorithms; Stators; Torque control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1022080

Filename

1022080