Active vibration control of piezoelectric smart flexible beam based on FULMS algorithm

被引:0
作者
Shao Y. [1 ]
Gao Z. [1 ]
Gao S. [1 ]
Huang Q. [1 ]
Zhu X. [1 ]
机构
[1] School of Mechatronics Engineering and Automation, Shanghai University
来源
Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering | 2011年 / 19卷 / 06期
关键词
Active vibration control; Algorithm analysis and implementation; FULMS algorithm; Piezoelectric smart flexible beam; Reference signal extraction;
D O I
10.3969/j.issn.1005-0930.2011.06.018
中图分类号
学科分类号
摘要
Facing the background of active vibration control of large flexible space structures, a multi-input multi-output(MIMO)active vibration controller was analyzed and implemented based on filtered-U least mean square(FULMS)algorithm. It could solve the problem that the reference signal of filtered-X least mean square(FXLMS)algorithm can not be extracted from the vibration response of the controlled structure. By analyzing FULMS algorithm and the basic control process briefly, simulations of FXLMS and FULMS algorithm were done respectively while the exciting signal was picked as the reference signal and the reference signal was extracted from controlled beam. Taking the configured piezoelectric beam as research object, FULMS control experiment was done on the vibration control platform. Both simulation and actual experiment results show that the designed MIMO FULMS algorithm based vibration controller has a good control performance, with rapid convergence, and it could extract reference signal from vibration response of the controlled structure directly.
引用
收藏
页码:1003 / 1013
页数:10
相关论文
共 13 条
[1]  
Zhou C., Li D., Experiment of vibration suppression for large flexible space truss structures of satellite, Aerospace Control, 27, 2, pp. 45-49, (2009)
[2]  
Tian G., Niu J., Song K., Active vibration control for a class of complex flexible coupling systems, Journal of Basic Science and Engineering, 9, 1, pp. 80-84, (2001)
[3]  
Kumar R., Khan M., Pole placement techniques for active vibration control of smart structures: A feasibility study, Journal of Vibration and Acoustics-Transactions of the Asme, 129, 5, pp. 601-615, (2007)
[4]  
Roy T., Chakraborty D., GA-LQR based optimal vibration control of smart FRP composite structures with bonded PZT patches, Journal of Reinforced Plastics and Composites, 28, 11, pp. 1383-1404, (2009)
[5]  
Xu Y., Chen J., Wang X., Et al., Robust H<sub>∞</sub> vibration control for uncertain piezoelectric flexible structures with poles assignment, Journal of Basic Science and Engineering, 15, 3, pp. 332-341, (2007)
[6]  
Wei J.J., Qiu Z.C., Han J.D., Et al., Experimental comparison research on active vibration control for flexible piezoelectric manipulator using fuzzy controller, Journal of Intelligent & Robotic Systems, 59, 1, pp. 31-56, (2010)
[7]  
Madkour A., Hossain M.A., Dahal K.P., Et al., Intelligent learning algorithms for active vibration control, IEEE Systems, Man, and Cybernetics Society, 37, 5, pp. 1022-1033, (2007)
[8]  
Tavakolpour A.R., Mailah M., Darus I.Z.M., Et al., Self-learning active vibration control of a flexible plate structure with piezoelectric actuato, Simulation Modelling Practice and Theory, 37, 5, pp. 1022-1033, (2010)
[9]  
Qiu Z., Study on adaptive filter control for piezoelectric intelligent plate, Journal of System Simulation, 18, 5, (2006)
[10]  
Xiao Y.G., Ma L.Y., Hasegawa K., Properties of FXLMS-Based narrowband active noise control with online secondary-path modeling, IEEE Transactions on Signal Processing, 57, 8, pp. 2931-2949, (2009)