文档介绍：Rotor Resistance Identification using Artificial works for a Speed
Sensorless Vector Controlled Induction Motor Drive
B. Karanayil, Student Member, IEEE, M. F. Rahman, Senior Member IEEE and C. Grantham
School of Electrical Engineering and munications
The University of New South Wales
Sydney, NSW 2052
AUSTRALIA
Email: k. ******@
Abstrncf - This paper presents a new method of rotor time
constant estimation using artificial works, for the 11. ROTORRESISTANCE IDENTIFICATION WITH ARTIFICIAL
speed sensorless implementation of the indirect vector WORK
controlled induction motor drive. The hack propagation neural
network technique is used for the real time adaptive estimation. The rotor resistance of an induction motor can be estimated
The error between the desired state variable of an induction with the adaptation scheme using the work, as
motor and the actual state variable of a neural model is back illustrated in Fig. 2. Two independent observers are used to
propagated to adjust the weights ofthe neural model, so that the estimate the rotor flux vectors of the induction motor.
actual state variable tracks the desired value. The performance Equation (1) is referred as voltage model which is based on
of the work based estimator is investigated with the measured stator voltages and stator currents from the
help of simulations an