Title :
Application on Rotor Vibration Control of SMA Model Based on Multivariate Statistical Analysis
Author :
Zhu, Zhi-Wen ; Wang, Hong-li ; Xu, Jia
Author_Institution :
Coll. of Mech. Eng., Tianjin Univ., Tianjin, China
fDate :
March 31 2009-April 2 2009
Abstract :
In this paper, a kind of shape memory alloy (SMA) model based on multivariate statistical analysis was developed and applied in vibration control on rotor system with SMA bearing. Hysteretic nonlinear theory was introduced to interpret the difference between loading and unloading curve of SMA. Stepwise multiple regression method was applied in finding the relationship among strain, stress and temperature. The bifurcation characteristic of rotor system with shape memory alloy bearings (SMAB) was analyzed in improved centre manifold method. Finally the stability of rotor system with SMA bearing in PID control was proved. The new SMA model can describe the strain-stress curves of SMA in different temperatures well, and broadens the region of controlling temperature, which is helpful to vibration control.
Keywords :
alloys; bifurcation; machine bearings; machine control; nonlinear control systems; regression analysis; rotors; temperature control; three-term control; vibration control; PID control; SMA bearing; bifurcation characteristic; hysteretic nonlinear theory; multivariate statistical analysis; rotor vibration control; shape memory alloy model; stepwise multiple regression method; strain-stress curves; temperature control; Bifurcation; Capacitive sensors; Hysteresis; Shape memory alloys; Stability; Statistical analysis; Stress; Temperature; Three-term control; Vibration control; Multivariate Statistical Analysis; Rotor Vibration; SMA;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.832