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   Sensorless Brushless DC Motor with Improved Speed Estimation Accuracy Using Stator Resistance Estimation   [View] 
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 Author(s)   B. Terzic; M. Jadric 
 Abstract   This paper describes a method for simultaneous state variables and parameters estimation of a brushless DC motor. The extended Kalman filter is applied for motor state variables and parameters estimation using measured values of the stator line voltages and currents. The experimental results of the speed, rotor position and stator resistance estimation are presented. The results are obtained using two variants of the estimation algorithm. The first one deals with only state motor variables, and in the other one the motor variables and stator resistance are estimated simultaneously. By introducing the estimation of the stator resistance the speed estimation accuracy is increased, particularly at low speed. 
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Filename:EPE1999 - PP00425 - Terzic.pdf
Filesize:217.9 KB
 Type   Members Only 
 Date   Last modified 2004-03-30 by System