Title :
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
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;
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
DOI :
10.1109/ICICISYS.2009.5358287
