Title :
Vibration control of piezoactuated cantilever beams using adaptive filtering
Author :
Marx, L.R.K. ; Swathi, L.
Author_Institution :
Dept. of Electron. & Commun. Eng., Thiagarajar Coll. of Eng., Madurai, India
Abstract :
Adaptive filters play a major role in vibration control of piezoactuated cantilever beams. Though a variety of adaptive algorithms are available to suppress vibrations, recursive least square algorithm is used because of its faster convergence and better control performance. In this paper, the ARX based system identified cantilever beams and their parameters are considered for simulation. Results show that the vibration control of piezoactuated cantilever beams can be achieved using recursive least square algorithm on the adaptive IIR structure. With this algorithm, the percentages of vibration suppression of piezoactuated cantilever beams with different natural frequencies are observed.
Keywords :
adaptive filters; beams (structures); cantilevers; convergence of numerical methods; least squares approximations; recursive estimation; structural engineering; vibration control; ARX based system; adaptive IIR structure; adaptive algorithms; adaptive filtering; natural frequencies; piezoactuated cantilever beams; recursive least square algorithm; vibration control; vibration suppression; Adaptation models; Adaptive filters; Finite impulse response filters; IIR filters; Structural beams; Vibration control; Vibrations; Adaptive filters; IIR filter; Recursive least square algorithm; vibration control;
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2013 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-5786-9
DOI :
10.1109/ICICES.2013.6508391