Knowledge-based fuzzy imbalanced force compensator design for a single active magnetic bearing suspended rotor system

A fuzzy imbalanced force estimator and feed-forward controller designed by the knowledge of rotor dynamics for a single active magnetic bearing suspended rotor system was proposed to eliminate the unbalancing vibration of rotor in the paper. The variable parameters used in the fuzzy estimator are di...

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Bibliographic Details
Published in2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) pp. 867 - 871
Main Authors Yi Hua Fan, Ying Tsun Lee
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2011
Subjects
Control systems
Couplings
Force
fuzzy imbalanced force estimator
Magnetic levitation
Observers
Rotors
single active magnetic bearing
Vibrations
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Summary:A fuzzy imbalanced force estimator and feed-forward controller designed by the knowledge of rotor dynamics for a single active magnetic bearing suspended rotor system was proposed to eliminate the unbalancing vibration of rotor in the paper. The variable parameters used in the fuzzy estimator are displacement and velocity of the rotor and control current of the magnetic bearing. Based on the estimating signal, a feed-forward control system is set to suppress the unbalancing vibration. The simulation and experiment results show that the proposed estimation system could accurately estimate the unbalance force and the feed-forward control system could restrain the unbalancing vibration to improving the rotational accuracy.
ISBN:9781424473151
1424473152
ISSN:1098-7584
DOI:10.1109/FUZZY.2011.6007545