Analysis and Design of a Bioinspired Vibration Sensor System in Noisy Environment

Huihui Pan, Xingjian Jing, Weichao Sun, Zhengchao Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

42 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)845-855
Number of pages11
JournalIEEE/ASME Transactions on Mechatronics
Issue number2
Publication statusPublished - 1 Apr 2018


  • Bioinspired system
  • displacement sensor systems
  • signal filtering
  • vibration measurement

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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