DocumentCode :
2569622
Title :
Analysis and suppression of torsional vibrations for the permanent magnet synchronous motor-load system
Author :
Fu, Shiang Chih ; Cheng, Stone
Author_Institution :
Dept. of Mech. Eng., Nat. Chiao-Tung Univ., Hsinchu, Taiwan
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
3359
Lastpage :
3364
Abstract :
In motor transition system, different components, such as coupling, gears, and shaft are having different stiffness; they may be high or low. The low stiffness component will cause torsional vibration in the system, this phenomenon results in defect of products. In this paper, how the affection the parameters of a shaft caused to torsional vibration was discussed, and an adaptive notch filter is utilized to suppress the torsional oscillation, and then improve the bandwidth of the speed control loop. The adaptive notch filter can auto-identify the vibration frequency and auto-tune the parameters of the notch filter, achieving the objective of auto-suppressing torsional oscillation.
Keywords :
IIR filters; adaptive control; adaptive filters; control nonlinearities; control system analysis; load regulation; machine control; notch filters; permanent magnet motors; self-adjusting systems; synchronous motor drives; torsion; velocity control; vibration control; adaptive IIR notch filter; antiwindup controller; machine coupling; machine gear; machine shaft; motor drive transition system; parameter autotuning; permanent magnet synchronous motor-load system; product defect; speed control loop; stiffness component; torsional oscillation autosuppression; torsional vibration analysis; torsional vibration suppression; vibration frequency autoidentification; Adaptive control; Adaptive filters; Couplings; Gears; Magnetic analysis; Permanent magnet motors; Programmable control; Shafts; Synchronous motors; Vibration control; PMSM; adaptive IIR notch filter; auto-tuning notch filter; dual-inertia modle; suppress vibration; tortional vibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346192
Filename :
5346192
Link To Document :
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