DocumentCode :
2734873
Title :
Analysis of adaptive filter feedforward control algorithm based on IIR mode for active structure vibration control
Author :
Tinggao, Qin ; Quanzhen, Huang ; Zhiyuan, Gao ; Xiaojin, Zhu
Author_Institution :
Dept. of Autom., Shanghai Univ., Shanghai, China
Volume :
2
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
90
Lastpage :
94
Abstract :
Considering the deficiencies of FIR adaptive filter feedforward control method applied in active vibration control for smart structures, a reference signal that has high correlation with the vibration noise source is needed as well as the adaptive filter´s output does not affect the reference signal. Taken piezoelectric smart plate structure as simulation object, this paper focuses on the analysis of adaptive feedforward vibration control method based on IIR (Infinite Impulse Response) controller. The reference signal is directly extracted from structural response, while the reasoning algorithm of IIR model controller design and adaptive feedforward vibration control method is proposed. Active vibration control experimental platform was established in order to verify the feasibility and superiority of the algorithms, as the IIR and FIR-based experiment in the same experimental conditions were carried out. The results indicate that the IIR controller obtaining reference signal from structure response are effective, with the advantage of rapid convergence, and it can meet the control requirement with lower order model.
Keywords :
FIR filters; IIR filters; adaptive control; control system synthesis; feedforward; intelligent structures; vibration control; FIR adaptive filter feedforward control method; IIR controller; active structure vibration control; infinite impulse response; smart structures; vibration noise source; Active noise reduction; Adaptive control; Adaptive filters; Algorithm design and analysis; Analytical models; Finite impulse response filter; IIR filters; Intelligent structures; Programmable control; Vibration control; Active vibration control; Controller of IIR model; Piezoelectric smart structure; adaptive filter control; simulation experiment analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5358151
Filename :
5358151
Link To Document :
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