DocumentCode
2677942
Title
Performance analysis and comparison of FXLMS and FULMS algorithm for active structure vibration control
Author
Shouwei, Gao ; Zhiyuan, Gao ; Yong, Shao ; Jincong, Yi ; Xiaojin, Zhu
Author_Institution
Dept. of Autom., Shanghai Univ., Shanghai, China
Volume
1
fYear
2010
fDate
27-29 March 2010
Firstpage
197
Lastpage
201
Abstract
Taking the piezoelectric beam as research object, filtered-U least mean square (FULMS) control algorithm for feed-forward adaptive control is analyzed and compared with filtered-x least mean square (FXLMS) feed-forward control algorithm, which can solve the problem that the vibration feedback may affect the measuring of the reference signal in FXLMS. By introducing FXLMS and FULMS control algorithm, this paper gives the controller design structure, while structure modal analysis to determine the optimal placement of piezoelectric sensors and actuators and model parameter identification for the controlled structure are done. Then the active vibration control experimental platform is established to verify the effectiveness of FULMS control scheme as well as FXLMS control scheme. Meanwhile the experimental results of FXLMS and FULMS are compared. The performance comparison shows that the FULMS adaptive vibration controller has a better control performance, with more rapid convergence than FXLMS controller.
Keywords
adaptive control; beams (structures); control system synthesis; feedback; feedforward; least mean squares methods; piezoelectric actuators; sensors; space vehicles; structural engineering; vibration control; FULMS control algorithm; FXLMS control algorithm; active structure vibration control; adaptive vibration controller; controller design structure; feed-forward adaptive control; filtered-U least mean square; filtered-x least mean square feed-forward control algorithm; model parameter identification; piezoelectric actuator; piezoelectric beam; piezoelectric sensor; reference signal; spacecraft; structure modal analysis; vibration feedback; Adaptive control; Adaptive filters; Algorithm design and analysis; Feedback; Feedforward systems; Optimal control; Performance analysis; Signal analysis; Vibration control; Vibration measurement; Active Vibration Control; Adaptive Control; Comparison; FULMS Algorithm; Performance Analysis; Piezoelectric Structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5487047
Filename
5487047
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