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Article

A Bio-Inspired MEMS Wake Detector for AUV Tracking and Coordinated Formation

1
State Key Laboratory of Dynamic Testing Technology, North University of China, Taiyuan 030051, China
2
Department of Electronic Engineering, College of Information Science and Engineering, Ocean University of China, Qingdao 266000, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(11), 2949; https://doi.org/10.3390/rs15112949
Submission received: 10 April 2023 / Revised: 25 May 2023 / Accepted: 4 June 2023 / Published: 5 June 2023
(This article belongs to the Special Issue Advances on Autonomous Underwater Vehicles (AUV))

Abstract

AUV (Autonomous Underwater Vehicle) coordinated formation can expand the detection range, improve detection efficiency, and complete complex tasks, which requires each AUV to have the ability to track and locate. A wake detector provides a new technical approach for AUV cooperative formation warfare. Now, most of the existing artificial lateral line detectors are for one-dimensional flow field applications, which are difficult to use for wake detection of AUVs. Therefore, based on the pressure gradient sensing mechanism of the canal neuromasts, we apply Micro-Electro-Mechanical System (MEMS) technology to develop a lateral line-inspired MEMS wake detector. The sensing mechanism, design, and fabrication are demonstrated in detail. Experimental results show the detector’s sensitivity is 147 mV·(m/s)−1, and the detection threshold is 0.3 m/s. In addition, the vector test results verify it has vector-detecting capacity. This wake detector can serve AUVs wake detection and tracking technology, which will be promising in AUV positioning and coordinated formation.
Keywords: bio-inspired; MEMS; wake detector; vector detection; AUV positioning bio-inspired; MEMS; wake detector; vector detection; AUV positioning

Share and Cite

MDPI and ACS Style

Qiao, Q.; Kong, X.; Wu, S.; Liu, G.; Zhang, G.; Yang, H.; Zhang, W.; Yang, Y.; Jia, L.; He, C.; et al. A Bio-Inspired MEMS Wake Detector for AUV Tracking and Coordinated Formation. Remote Sens. 2023, 15, 2949. https://doi.org/10.3390/rs15112949

AMA Style

Qiao Q, Kong X, Wu S, Liu G, Zhang G, Yang H, Zhang W, Yang Y, Jia L, He C, et al. A Bio-Inspired MEMS Wake Detector for AUV Tracking and Coordinated Formation. Remote Sensing. 2023; 15(11):2949. https://doi.org/10.3390/rs15112949

Chicago/Turabian Style

Qiao, Qingyu, Xiangzheng Kong, Shufeng Wu, Guochang Liu, Guojun Zhang, Hua Yang, Wendong Zhang, Yuhua Yang, Licheng Jia, Changde He, and et al. 2023. "A Bio-Inspired MEMS Wake Detector for AUV Tracking and Coordinated Formation" Remote Sensing 15, no. 11: 2949. https://doi.org/10.3390/rs15112949

APA Style

Qiao, Q., Kong, X., Wu, S., Liu, G., Zhang, G., Yang, H., Zhang, W., Yang, Y., Jia, L., He, C., Cui, J., & Wang, R. (2023). A Bio-Inspired MEMS Wake Detector for AUV Tracking and Coordinated Formation. Remote Sensing, 15(11), 2949. https://doi.org/10.3390/rs15112949

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