Title :
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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7067-8
DOI :
10.1109/PESC.2001.954216
