An adaptive speed estimator for induction motors based on a Kalman filter with low sample time

Author

Mora, J.L. ; Torralba, A. ; Franquelo, L.G.

Author_Institution

Dpto. de Ingenieria Electron., Univ. Sevilla, Spain

Volume

2

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

794

Abstract

In order to estimate the rotor flux and speed in an induction motor, the extended Kalman filter must be used rather than the linear one. The main drawback of the extended Kalman filter is the great number of arithmetic operations required. This paper presents a linear Kalman filter for rotor flux with adaptive speed estimation that reduces the number of operations by a factor of 8.5 compared with the straightforward implementation of the extended Kalman filter

Keywords

Kalman filters; induction motor drives; machine vector control; magnetic flux; parameter estimation; rotors; 10 kW; PWM current regulator; TMS320C30 digital signal processor; adaptive speed estimation; adaptive speed estimator; arithmetic operations; electrical drives; extended Kalman filter; indirect vector control; induction motor; linear Kalman filter; rotor flux; rotor flux estimation; speed estimation; Arithmetic; Covariance matrix; Electronic mail; Induction motors; Kalman filters; Production; Rotors; Stators; Transportation; Velocity measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual

Conference_Location

Vancouver, BC

ISSN

0275-9306

Print_ISBN

0-7803-7067-8

Type

conf

DOI

10.1109/PESC.2001.954216

Filename

954216