A Formation Perception Method for Autonomous Underwater Vehicle Based on a Bionic Piezoresistive MEMS Vector Wake Sensor

作者：Peng Zhang, Xuanye Hu, N. Cheng, Wendong Zhang, Yi Yang, Guojun Zhang, Renxin Wang · 发表于：IEEE transactions on industrial electronics (1982. Print) · 年份：2026 · DOI：10.1109/TIE.2025.3600518 · 被引用次数：2 · 研究领域：Computer Science

This study introduces a bionic vector wake sensor utilizing micro electro mechanical system (MEMS) technology to facilitate flow field sensing and the coordinated formation of autonomous underwater vehicles (AUVs). Inspired by the lateral line system of fish, the sensor incorporates a piezoresistive transducer featuring a bionic cilia and double-supported beam configuration. Drawing from the hierarchical fluid mechanism of the neural mound in blind cave fish, the sensor's design optimizes a composite package featuring a star-shaped package structure using finite-element method (FEM). Experimental results demonstrate the sensor's high sensitivity and ability to discern vectors. In multi-AUV platform formation tests, the sensor reliably detects wake turbulence from a leading target, showcasing its practicality and potential for engineering applications in complex flow environments.