DocumentCode :
3344434
Title :
Frequency estimation for sensorless control of induction motors
Author :
Hilairet, M. ; Auger, F.
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
925
Abstract :
In the motor control industry, DSP systems offer major improvements over analog designs, enabling notably to replace speed or position sensors by the implementation of sensorless control algorithms. In this paper, we propose a new viable method which estimates the rotor velocity from the "rotor slot harmonics" included in the stator current signals. This approach is based on both an adjustable digital filter, which is fitted to this particular application, and an extended Kalman filter whose computational burden has been reduced thanks to an additional virtual state
Keywords :
Kalman filters; angular velocity control; digital control; digital signal processing chips; frequency estimation; induction motors; machine control; rotors; stators; 0.7 kW; DSP systems; additional virtual state; adjustable digital filter; extended Kalman filter; induction motors; motor control; rotor slot harmonics; rotor velocity estimation; sensorless control algorithms; stator current signals; Algorithm design and analysis; Digital signal processing; Electrical equipment industry; Frequency estimation; Induction motors; Industrial control; Motor drives; Rotors; Sensor systems; Sensorless control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.941067
Filename :
941067
Link To Document :
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