Wake Detection and Positioning for Autonomous Underwater Vehicles Based on Cilium-Inspired Wake Sensor

This paper proposes a method for passive detection of autonomous underwater vehicle (AUV) wakes using a cilium-inspired wake sensor (CIWS), which can be used for the detection and tracking of AUVs. First, the characteristics of the CIWS and its working principle for detecting underwater flow fields are introduced. Then, a flow velocity sensor is used to measure the flow velocities of the "TS MINI" AUV's wake at different positions, and a velocity field model of the "TS MINI" AUV's wake is established. Finally, the wake field of the "TS MINI" AUV was measured at various positions using the CIWS. By analyzing the data, the characteristic frequency of the AUV's propeller is identified, which is correlated with the AUV's rotation speed and the number of blades. Through further analysis, a mapping model is established between the spectral amplitude of the characteristic frequency at different positions and the corresponding wake velocity. By substituting this mapping model into the AUV's wake velocity field model, the possible position range of the sensor relative to the AUV propeller can be estimated. The research provides a technical foundation for underwater detection and tracking missions based on wake detection.

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Publication Details

Journal
Sensors
Published
2024-12-25
DOI
https://doi.org/10.3390/s25010041
Citations
1
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.34

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Wake Detection and Positioning for Autonomous Underwater Vehicles Based on Cilium-Inspired Wake Sensor

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1 citations
Sensors
Underwater Vehicles and Communication Systems
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article

Wake Detection and Positioning for Autonomous Underwater Vehicles Based on Cilium-Inspired Wake Sensor

Zhiyu Liao, Xue Jing Hu, Zhiqiang Hu, Xinghua Zhu, Yi Yang, Peng Zhang, Renxin Wang
article en
1 citations

Abstract

This paper proposes a method for passive detection of autonomous underwater vehicle (AUV) wakes using a cilium-inspired wake sensor (CIWS), which can be used for the detection and tracking of AUVs. First, the characteristics of the CIWS and its working principle for detecting underwater flow fields are introduced. Then, a flow velocity sensor is used to measure the flow velocities of the "TS MINI" AUV's wake at different positions, and a velocity field model of the "TS MINI" AUV's wake is established. Finally, the wake field of the "TS MINI" AUV was measured at various positions using the CIWS. By analyzing the data, the characteristic frequency of the AUV's propeller is identified, which is correlated with the AUV's rotation speed and the number of blades. Through further analysis, a mapping model is established between the spectral amplitude of the characteristic frequency at different positions and the corresponding wake velocity. By substituting this mapping model into the AUV's wake velocity field model, the possible position range of the sensor relative to the AUV propeller can be estimated. The research provides a technical foundation for underwater detection and tracking missions based on wake detection.

SensorsVol. 25(1)
North University of China (CN), Shenyang Institute of Automation (CN), Chinese Academy of Sciences (CN), University of Chinese Academy of Sciences (CN)
Chinese Academy of Sciences
Life below water
Openalex Percentile: Top 37%
Underwater Vehicles and Communication Systems
0.34
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