DocumentCode :
382927
Title :
Flux position estimation in cage induction machines using synchronous HF injection and Kalman filtering
Author :
Caruana, C. ; Asher, G.M. ; Bradley, K.J. ; Woolfson, M.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nottingham Univ., UK
Volume :
2
fYear :
2002
fDate :
13-18 Oct. 2002
Firstpage :
845
Abstract :
This paper proposes a new approach to the tracking of the flux position saliency of an induction machine by means of high-frequency signal injection in the synchronous rotating frame. The paper shows that existing synchronous pulsating injection methods perform poorly in the presence of secondary saliencies. A modified scheme is proposed in which a rotating HF field is established in the dq rotating reference frame. The scheme enhances the performance of harmonic elimination methods to reduce the effects of secondary saliencies. A new harmonic elimination method based on the Kalman filter is proposed in the paper. Experimental results are given showing the effectiveness of the harmonic elimination and the resulting tracking of the saturation saliency.
Keywords :
Kalman filters; harmonics suppression; machine vector control; magnetic flux; parameter estimation; squirrel cage motors; torque control; Kalman filter; Kalman filtering; cage induction machines; dq rotating reference frame; flux position saliency; harmonic elimination; harmonic elimination methods; high-frequency signal injection; parameter estimation; saturation saliency tracking; secondary saliencies; sensorless torque control; synchronous HF injection; synchronous pulsating injection methods; synchronous rotating frame; vector control; Current measurement; Distortion; Frequency estimation; Frequency measurement; Hafnium; Induction machines; Power harmonic filters; Rotation measurement; Sensorless control; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2002. 37th IAS Annual Meeting. Conference Record of the
Conference_Location :
Pittsburgh, PA, USA
ISSN :
0197-2618
Print_ISBN :
0-7803-7420-7
Type :
conf
DOI :
10.1109/IAS.2002.1042657
Filename :
1042657
Link To Document :
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