Title: Experimental real-time Active Vibration Control of cantilever beam

Authors: Yong Xia, Ahmad Ghasempoor

Addresses: Department of Mechanical and Industrial Engineering, Ryerson University, M5B 2K3, Canada. ' Department of Mechanical and Industrial Engineering, Ryerson University, M5B 2K3, Canada

Abstract: Vibration detection and control strategies strive to reduce the effect of harmful vibrations on machinery. In general, vibration control strategies are classified as passive or active. Active Vibration Control (AVC) strategies can be more effective but may require more complex algorithms and are especially susceptible to time delays. This paper introduces an AVC system which, using dynamic neural networks, automatically detects noisy sinusoidal vibration parameters of a cantilever beam and generates control signals for an actuator to minimise the beam vibration. The system has been evaluated experimentally and the results show its feasibility.

Keywords: AVC; active vibration control; adaptive; ANNs; artificial neural networks; real-time DSP; digital signal processing; cantilever beams; beam vibration.

DOI: 10.1504/IJMR.2011.037914

International Journal of Manufacturing Research, 2011 Vol.6 No.1, pp.62 - 76

Published online: 09 May 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article