DocumentCode :
2838576
Title :
Control Channel Identification Method and Experimental Research on FXLMS Vibration Control
Author :
Gao Zhiyuan ; Qin Tinggao ; Huang Quanzhen ; Zhu Xiaojin
Author_Institution :
Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
fYear :
2009
fDate :
11-13 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Control channel model parameters of adaptive filter feedforward control for piezoelectric smart flexible structures should be predicted, as not only they are the key factors of system stability and control effect but also they have immediate impacts on system convergence and the validity of control strategy. This paper takes the piezoelectric flexible structure as research object. According to least mean square (LMS) algorithm, control channel identification method and its implementation, applied in the MIMO adaptive filter feedforward vibration control, is deduced in detail. Parameter identification, based on which adaptive control for vibration suppression is developed, is performed for the controlled structure, a smart cantilever plate with piezoelectric patches. Experiment results demonstrate the correctness and availability of the control channel identification method and its implementation technique.
Keywords :
MIMO systems; adaptive control; adaptive filters; cantilevers; convergence; feedforward; flexible structures; least mean squares methods; stability; vibration control; MIMO adaptive filter feedforward vibration control; control channel identification method; control channel model parameters; experimental research; filtered-X least-mean-square vibration control; parameter identification; piezoelectric patches; piezoelectric smart flexible structures; smart cantilever plate; system convergence; system stability; vibration suppression; Adaptive filters; Control system synthesis; Convergence; Flexible structures; Least squares approximation; MIMO; Parameter estimation; Predictive models; Stability; Vibration control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
Type :
conf
DOI :
10.1109/CISE.2009.5364609
Filename :
5364609
Link To Document :
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