DocumentCode :
2491296
Title :
Rotational speed oscillation characteristic and decomposition algorithm of torsional vibration
Author :
Liu, Bin ; Jiang, Jinshui ; Shi, Peiming
Author_Institution :
Inst. of Electr. Eng., Univ. of Yanshan, Qinhuangdao
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
5130
Lastpage :
5133
Abstract :
For analysing the torsional vibration characteristic of rotary mechanical drive system, a new highly active calculation decomposition algorithm was proposed by using series decoupled method. When the elastic driving shaft and motor shaft had speed oscillation, the decomposition algorithm could develop nonlinear differential equation into a series of algebraic equation and series solution had been gained, which could be calculated quickly. By taking the theoretical values of rotational speed oscillation obtained by the new decomposition algorithm as the forecasting control values of electric motorpsilas rotational speed output, the torsional vibration of rotary mechanical drive system can be restrained effectively. The correctness of the decomposition algorithm was verified through the torsional vibration testing experiment.
Keywords :
mechanical testing; motor drives; nonlinear differential equations; oscillations; rotation; shafts; torsion; vibrations; active calculation decomposition algorithm; algebraic equation; decomposition algorithm; elastic driving shaft; motor shaft; nonlinear differential equation; rotary mechanical drive system; rotational speed oscillation characteristic; series decoupled method; torsional vibration; torsional vibration testing; Automation; Differential algebraic equations; Differential equations; Integral equations; Intelligent control; Nonlinear equations; Shafts; Testing; Torque; Vibration control; Decomposition algorithm; Rotary mechanical; Rotational speed oscillation; Torsional vibration;
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.2008.4593763
Filename :
4593763
Link To Document :
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