DocumentCode
2485915
Title
Sensorless speed estimation of PMSM using a hybrid method
Author
Liu, Yu ; Liu, Jie ; Dai, Li ; Yu, Chunming
Author_Institution
Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang
fYear
2008
fDate
25-27 June 2008
Firstpage
3451
Lastpage
3454
Abstract
A hybrid estimator which combined the advantages of sliding mode estimator and extended Kalman filter for sensorless control of PMSM was proposed. The algorithm is more effective than sliding mode estimator for a motor with a distorted back-emf distribution. The hybrid estimator established a three-order EKF, considering the high order harmonics components of back-emf as system and measurement noise. It is easier to tune the parameters for the order lowered EKF estimator than traditional EKF estimator. It has a good performance for PMSM with no sinusoidal back EMF distributing while sliding mode estimator has a worse capability. Compared with the sliding mode estimator, traditional EKF estimator and hybrid estimator, the advantages and disadvantages of the hybrid estimator are illustrated.
Keywords
angular velocity measurement; machine control; permanent magnet motors; variable structure systems; velocity control; PMSM; distorted back-emf distribution; extended Kalman filter; sensorless speed estimation; sliding mode estimator; Automation; Covariance matrix; Harmonic distortion; Iterative algorithms; Observers; Rotors; Sensorless control; Sliding mode control; Stators; Vehicle dynamics; extended Kalman filter; hybrid estimator; sensorless control; sliding mode estimator;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4593472
Filename
4593472
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