A Bioinspired Tilt Sensor Model with Adaptive Gain and Enhanced Sensitivity

Joint Authors

Lei, Ying
Liu, Lijun

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

Civil Engineering

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