TY - GEN
T1 - A bio-inspired sensor system for vibration measurement in noisy environment
AU - Pan, Huihui
AU - Jing, Xingjian
AU - Li, Zhengchao
PY - 2018/2/7
Y1 - 2018/2/7
N2 - The absolute displacement measurement of vibrating platforms/objects is always needed in vibration control and signal processing. In this work, inspired by recent practical requirement of engineering applications, we propose a novel bio-inspired dynamics vibration sensor system for absolute vibration displacement measurement. Without using any sophisticated and complex structure, the proposed sensor system can be accomplished by simple beams and springs. The theoretic analysis of the bio-inspired sensor system indicates a possible way in achieving nonlinear quasi-zero stiffness and consequently creating a broadband vibration-free point for absolute displacement measurement, and thus realizing an outstanding measurement performance. Importantly, the square-root unscented Kalman filter (SR-UKF) technique for dynamic state estimation of the bio-inspired dynamic sensor is developed to avoid the drawback of measurement noises from the sensor data, which improves the accuracy of the resulting vibration measurement. Experiments verified the effectiveness of this novel sensor system.
AB - The absolute displacement measurement of vibrating platforms/objects is always needed in vibration control and signal processing. In this work, inspired by recent practical requirement of engineering applications, we propose a novel bio-inspired dynamics vibration sensor system for absolute vibration displacement measurement. Without using any sophisticated and complex structure, the proposed sensor system can be accomplished by simple beams and springs. The theoretic analysis of the bio-inspired sensor system indicates a possible way in achieving nonlinear quasi-zero stiffness and consequently creating a broadband vibration-free point for absolute displacement measurement, and thus realizing an outstanding measurement performance. Importantly, the square-root unscented Kalman filter (SR-UKF) technique for dynamic state estimation of the bio-inspired dynamic sensor is developed to avoid the drawback of measurement noises from the sensor data, which improves the accuracy of the resulting vibration measurement. Experiments verified the effectiveness of this novel sensor system.
UR - http://www.scopus.com/inward/record.url?scp=85047548615&partnerID=8YFLogxK
U2 - 10.1109/ASCC.2017.8287311
DO - 10.1109/ASCC.2017.8287311
M3 - Conference article published in proceeding or book
VL - 2018-January
T3 - 2017 Asian Control Conference, ASCC 2017
SP - 1023
EP - 1028
BT - 2017 Asian Control Conference, ASCC 2017
PB - IEEE
T2 - 2017 11th Asian Control Conference, ASCC 2017
Y2 - 17 December 2017 through 20 December 2017
ER -