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   Induction Motor Sensorless Speed Estimation by Space Vector Angular Fluctuation   [View] 
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 Author(s)   Chun Wang, Zhongfu Zhou, Peter Unsworth, Paul Holland, Petar Igic 
 Abstract   A novel method of obtaining sensorless speed information of induction motors, derived from space vector angular fluctuation, is presented in this paper. It obtains data from stator current by exploring the position of the current space vector in the space vector plane. The space vector signal and variations of the phase angle of the vector are subjected to Short Time Fourier Transformation (STFT) and analyzed in the time-frequency domain. Highresolution spectrum technique is adopted to modify spectrum of FFT. The method has been tested on laboratory induction motors, as well as by computer simulation. In the case of motor starting, when motor speed can change rapidly, this allows speed estimation within a few cycles. 
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Filename:T4-110.pdf
Filesize:651.6 KB
 Type   Members Only 
 Date   Last modified 2007-03-12 by System