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A Bioinspired Tilt Sensor Model with Adaptive Gain and Enhanced Sensitivity
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-27
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Although various types of tilt sensors have been proposed in the past decade, it is still essential to develop rugged, cheap, simple-structured tilt sensors with wide measuring range and high sensitivities for efficient monitoring of infrastructures and early warning of natural disasters.
It has been investigated that stereocilia in some fishes’ inner ear organs are the basic sensory units of nature’s inertial sensors and are highly sensitive over broad dynamic range because of a combination of adaptation and negative stiffness mechanisms.
In this paper, a bioinspired tilt sensor model is proposed that mimics the mechanism of stereocilia in adaptive signal amplification to mechanical stimuli, leading to high sensitivity to weak input and low sensitivity to high input, thus expanding the dynamic range through adaptive amplification.
The negative stiffness mechanism is implemented by magnet forces.
The tilt motion is measured by the strain gauge at the end of the flexible cantilever beam element in the model.
Measurements of both static and dynamics tilt motion are investigated.
Numerical simulation results are used to demonstrate the capability of the proposed model for the measurements of tilt motions with adaptive amplification and enhanced sensitivity.
American Psychological Association (APA)
Liu, Lijun& Lei, Ying. 2014. A Bioinspired Tilt Sensor Model with Adaptive Gain and Enhanced Sensitivity. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-511386
Modern Language Association (MLA)
Liu, Lijun& Lei, Ying. A Bioinspired Tilt Sensor Model with Adaptive Gain and Enhanced Sensitivity. Mathematical Problems in Engineering No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-511386
American Medical Association (AMA)
Liu, Lijun& Lei, Ying. A Bioinspired Tilt Sensor Model with Adaptive Gain and Enhanced Sensitivity. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-511386
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511386