Table of Contents
Smart Materials Research
Volume 2012, Article ID 390873, 7 pages
http://dx.doi.org/10.1155/2012/390873
Research Article

Simulating Displacement and Velocity Signals by Piezoelectric Sensor in Vibration Control Applications

1Department of Electrical Engineering, Hsiuping University of Science and Technology, Taichung, Taiwan
2Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan City 701, Taiwan
3Department of Aeronautics and Astronautics, National Cheng Kung University and Mildex Corporation, Taiwan

Received 15 May 2012; Accepted 17 June 2012

Academic Editor: C. R. Bowen

Copyright © 2012 G. J. Sheu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Intelligent structures with built-in piezoelectric sensor and actuator that can actively change their physical geometry and/or properties have been known preferable in vibration control. However, it is often arguable to determine if measurement of piezoelectric sensor is strain rate, displacement, or velocity signal. This paper presents a neural sensor design to simulate the sensor dynamics. An artificial neural network with error backpropagation algorithm is developed such that the embedded and attached piezoelectric sensor can faithfully measure the displacement and velocity without any signal conditioning circuitry. Experimental verification shows that the neural sensor is effective to vibration suppression of a smart structure by embedded sensor/actuator and a building structure by surface-attached piezoelectric sensor and active mass damper.