Adaptive active vibration control for a piezoelectric stewart platform

Author

Wang, Zhenyan ; Zhang, Wenguang

Author_Institution

Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China

Volume

2

fYear

2009

Firstpage

752

Lastpage

756

Abstract

In this paper, an adaptive active vibration control is proposed and implemented to a piezoelectric (PZT) stewart platform exhibiting nonlinearity. An adaptive controller based on filtered-x least mean square (LMS) algorithm is presented to attenuate vibration. The vibration control experiment is constructed using a digital signal processor (DSP) control system. Experimental results demonstrate that a considerable vibration regression is achieved quickly even if the platform is not completely decoupled. Compared with force feedback control technique, this algorithm can reduce vibration effectively without regulating controller parameter manually.

Keywords

adaptive control; least mean squares methods; piezoelectric actuators; vibration control; DSP control system; adaptive active vibration control; digital signal processor control system; filtered-x least mean square algorithm; force feedback control technique; piezoelectric stewart platform; Adaptive control; Adaptive filters; Digital signal processing; Digital signal processors; Force control; Least squares approximation; Process control; Programmable control; Signal processing algorithms; Vibration control; DSP control system; Filtered-X LMS algorithm; active vibration control; piezoelectric actuators; stewart platform;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5358287

Filename

5358287