DocumentCode :
2617624
Title :
Comparison of LMS and RLS Algorithm for Active Vibration Control of Smart Structures
Author :
Quanzhen, Huang ; Zhiyuan, Gao ; Shouwei, Gao ; Yong, Shao ; Xiaojin, Zhu
Author_Institution :
Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
Volume :
1
fYear :
2011
fDate :
6-7 Jan. 2011
Firstpage :
745
Lastpage :
748
Abstract :
Control algorithm is one of the key elements for active vibration suppression of the space flexible structure based on smart materials. As least mean square (LMS) algorithm and recursive least square (RLS) algorithm are two fundamental algorithms for adaptive feed-forward filter algorithm drawing wide attention, this paper focuses on the algorithm process analysis and performance comparison of the two adaptive algorithms based on finite impulse response (FIR) structure. The design and related characteristic analysis of the controller is given as well as the realization process based on the theoretical analysis. Simulation is done using Matlab 7.0 to verify the correctness of the theoretical analysis. The simulation comparison between the two type algorithms shows that RLS algorithm has faster convergence and better control performance than LMS algorithm. On the basis of the simulation analysis, the actual vibration suppression experiment is done on the constructed experimental platform for piezoelectric flexible beam, and experiment result confirms the simulation effects.
Keywords :
beams (structures); intelligent structures; recursive estimation; vibration control; Matlab 7.0; active vibration control; active vibration suppression; adaptive algorithm; adaptive feedforward filter algorithm; algorithm process analysis; control algorithm; controller; finite impulse response structure; least mean square algorithm; piezoelectric flexible beam; realization process; recursive least square algorithm; simulation analysis; smart material; smart structure; space flexible structure; Adaptive filters; Algorithm design and analysis; Filtering algorithms; Finite impulse response filter; Least squares approximation; Signal processing algorithms; Vibrations; FIR filter; LMS algorithm; RLS algorithm; active vibration control; smart structures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
Type :
conf
DOI :
10.1109/ICMTMA.2011.188
Filename :
5720891
Link To Document :
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