DocumentCode :
1612507
Title :
Sensorless speed control of a PM synchronous motor based on sliding mode observer and extended Kalman filter
Author :
Parasiliti, Francesco ; Petrella, Roberto ; Tursini, Marco
Author_Institution :
Dipartimento di Ingegneria Elettrica, L´´Aquila Univ., Italy
Volume :
1
fYear :
2001
Firstpage :
533
Abstract :
In this paper a method for rotor speed and position detection in permanent magnet synchronous motors is presented, suitable for applications where low speed and standstill operations are not required. The approach is based on the estimation of the motor back-EMF through a sliding mode observer and a cascaded Kalman filtering. Due to its characteristics, the technique can be applied to motors having distorted and whatever shaped back-EMF waveform. The equation error for the rotor position estimation is derived and discussed. Test results are presented, which show the system performance including start-up capability, which is one of the most critical conditions in back-EMF based sensorless schemes.
Keywords :
Kalman filters; angular velocity control; machine control; observers; permanent magnet motors; rotors; synchronous motors; variable structure systems; PM synchronous motor; back-EMF based sensorless schemes; cascaded Kalman filtering; equation error; extended Kalman filter; low speed operation; motor back-EMF; rotor position detection; rotor position estimation; rotor speed detection; sensorless speed control; shaped back-EMF waveform; sliding mode observer; standstill operation; start-up capability; Mechanical sensors; Observers; Permanent magnet motors; Rotors; Saturation magnetization; Sensorless control; Stators; Synchronous motors; Velocity control; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2001. Thirty-Sixth IAS Annual Meeting. Conference Record of the 2001 IEEE
Conference_Location :
Chicago, IL, USA
ISSN :
0197-2618
Print_ISBN :
0-7803-7114-3
Type :
conf
DOI :
10.1109/IAS.2001.955472
Filename :
955472
Link To Document :
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