Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/77528
Title: Analysis and design of a bioinspired vibration sensor system in noisy environment
Authors: Pan, H 
Jing, X 
Sun, W
Li, Z 
Keywords: Bioinspired system
Displacement sensor systems
Signal filtering
Vibration measurement
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE/ASME transactions on mechatronics, 2018, v. 23, no. 2, p. 845-855 How to cite?
Journal: IEEE/ASME transactions on mechatronics 
Abstract: Absolute displacement signals of vibrating platforms/objects are often needed in vibration control, signal processing, and object tracking. Motivated by the practical requirement of engineering applications, this study presents the analysis and design of a novel bioinspired dynamics vibration sensor system for absolute vibration displacement measurement. The sensor system is constructed using simple beams and springs, which indicates a possible way in achieving nonlinear quasi-zero stiffness and consequently creating a broadband vibration-free point for absolute displacement measurement in vibrating platforms. The theoretic analysis of the influence of different structure parameters on the bioinspired sensor system is conducted for achieving an excellent isolation property, and thus realizing an outstanding measurement performance. Importantly, to avoid the drawback of measurement noises from the sensor data, the square root unscented Kalman filter technique for estimating the system of the bioinspired dynamic sensor is developed, which improves the accuracy of the resulting vibration measurement. A series of simulations demonstrate the effectiveness of this novel sensor system. Experiments are also conducted using an in-house prototyped sensor testbed, to validate the displacement measurement results and assess the filter algorithms.
URI: http://hdl.handle.net/10397/77528
ISSN: 1083-4435
DOI: 10.1109/TMECH.2018.2803284
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