DocumentCode :
2194133
Title :
Sensor integration and state estimation on magnetically levitated rotors
Author :
Schuhmann, Th ; Hofmann, W. ; Werner, R.
Author_Institution :
Chemnitz Technol. Univ.
fYear :
2006
fDate :
23-26 May 2006
Firstpage :
1172
Lastpage :
1177
Abstract :
Magnetically levitation of rotors requires accurate measurement of the shaft location. Commonly used position sensors are mounted externally, which can cause system instability. Therefore, an integrated capacitive measurement system has been developed which allows determination of the rotor position exactly in-plane with the magnetic bearing. Sensor noise is reduced significantly by means of an adaptive linear Kalman filter. Additionally, the filter estimates all state variables, which permits utilization of a state space controller. In this paper, a LQG regulator, which was successfully tested with an experimental setup, is described in detail. A procedure for estimating parameters of the magnetic bearing by means of an extended Kalman filter is proposed in conclusion
Keywords :
adaptive Kalman filters; capacitive sensors; linear quadratic Gaussian control; machine control; magnetic bearings; magnetic levitation; rotors; state-space methods; LQG regulator; adaptive linear Kalman filter; capacitive measurement system; extended Kalman filter; magnetic bearing; magnetically levitated rotors; shaft location measurement; state space controller; Filters; Magnetic levitation; Magnetic noise; Magnetic sensors; Magnetic separation; Noise reduction; Position measurement; Sensor systems; Shafts; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006. International Symposium on
Conference_Location :
Taormina
Print_ISBN :
1-4244-0193-3
Type :
conf
DOI :
10.1109/SPEEDAM.2006.1649945
Filename :
1649945
Link To Document :
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