Implementation of extended Kalman filtering algorithm with improved flux estimator on TMS320F28335 processor for induction sensorless drive

Author

Talanov, M.V. ; Karasev, A.V. ; Talanov, V.M.

Author_Institution

Fac. of Electron. Eng., Ogarev Mordovia State Univ., Saransk, Russia

fYear

2014

fDate

11-12 Sept. 2014

Firstpage

119

Lastpage

123

Abstract

This paper describes a real-time speed estimation of an induction motor (IM) based on the extended Kalman Filter (EKF). The algorithm was implemented on the TMS320F28335 digital signal processor (DSP), which is capable to perform complex mathematical transformations. The proposed vector control system was firstly modelled in MATLAB Simulink and then verified using Code Composer Studio (CCS). An improved rotor flux estimator is introduced, which makes the presented estimation technique similar to the MRAS-based estimators.

Keywords

Kalman filters; digital signal processing chips; induction motor drives; nonlinear filters; CCS; DSP; MATLAB Simulink; MRAS-based estimators; TMS320F28335; code composer studio; digital signal processor; extended Kalman filtering algorithm; induction motor; induction sensorless drive; mathematical transformations; real-time speed estimation; rotor flux estimator; vector control system; Digital signal processing; Induction motors; Machine vector control; Mathematical model; Observers; Rotors;

fLanguage

English

Publisher

ieee

Conference_Titel

Education and Research Conference (EDERC), 2014 6th European Embedded Design in

Conference_Location

Milano

Print_ISBN

978-1-4799-6841-1

Type

conf

DOI

10.1109/EDERC.2014.6924371

Filename

6924371