基于PVDF仿生侧线传感器的偶极子源参数估计

Dipole source parameter estimation based on PVDF biomimetic lateral line sensor

基于生物学原理,采用性能较好的聚偏二氟乙烯(PVDF)压电材料设计并制作仿生侧线传感器。为了对水下偶极子源的振动幅度和空间位置进行估计,采用6个间距为2cm的PVDF仿生侧线传感器组成长为10cm的感知阵列,建立相应的实验平台。通过解析从各只传感器采集到的电压数据得到各处的实际流速,利用改进型粒子群优化算法进行多次迭代搜索最为匹配的偶极子源相关信息。实验结果表明:在一定范围内,通过此方法可对偶极子源各参数进行估计,且误差较小,结果稳定性强。

Based on biological principle,a biomimetic lateral line sensor is designed and fabricated using polyvinylidene fluoride(PVDF)piezoelectric material with better performance.In order to estimate the vibration amplitude and spatial position of underwater dipole source,six PVDF-based biomimetic lateral line sensors with a spacing of 2 cm are used to form a sensing array with a length of 10 cm,and corresponding experimental platform is established.Actual flow velocity is obtained by analyzing the voltage data collected from each sensor.The improved particle swarm optimization algorithm is used for several iterations to search the most matched dipole source correlation information.Experimental results show that the dipole source parameters can be estimated by this method in a certain range with small error and strong stability of result.