The relative perception system of underwater bionic vehicles based on the artificial lateral line pressure sensor array

Liu, Yu; Hu, Qiao; Yang, Qian; Fu, Tongqiang; Li, Sihu

doi:10.1016/j.flowmeasinst.2023.102404

Cited by 5 publications

(4 citation statements)

References 28 publications

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“…The exceptional propulsion performance and agile maneuverability of fish undoubtedly arouse interest in biomimetic robotic fish research. These biomimetic robotic fish play a crucial role in the design and analysis of underwater propulsion devices, prompting academia to intensify research and discussion on this subject [2,[86][87][88][89]. Particularly for the application in small AUVs, biomimetic underwater robotic fish propulsion devices hold immense potential and could be extensively exploited and utilized in future scientific research.…”

Section: Biomimetic Robotic Fish Propulsionmentioning

confidence: 99%

Review of Computational Fluid Dynamics Analysis in Biomimetic Applications for Underwater Vehicles

Zhang,

Wang,

Zhang

2024

Biomimetics

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Biomimetics, which draws inspiration from nature, has emerged as a key approach in the development of underwater vehicles. The integration of this approach with computational fluid dynamics (CFD) has further propelled research in this field. CFD, as an effective tool for dynamic analysis, contributes significantly to understanding and resolving complex fluid dynamic problems in underwater vehicles. Biomimetics seeks to harness innovative inspiration from the biological world. Through the imitation of the structure, behavior, and functions of organisms, biomimetics enables the creation of efficient and unique designs. These designs are aimed at enhancing the speed, reliability, and maneuverability of underwater vehicles, as well as reducing drag and noise. CFD technology, which is capable of precisely predicting and simulating fluid flow behaviors, plays a crucial role in optimizing the structural design of underwater vehicles, thereby significantly enhancing their hydrodynamic and kinematic performances. Combining biomimetics and CFD technology introduces a novel approach to underwater vehicle design and unveils broad prospects for research in natural science and engineering applications. Consequently, this paper aims to review the application of CFD technology in the biomimicry of underwater vehicles, with a primary focus on biomimetic propulsion, biomimetic drag reduction, and biomimetic noise reduction. Additionally, it explores the challenges faced in this field and anticipates future advancements.

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Section: Biomimetic Robotic Fish Propulsionmentioning

confidence: 99%

Review of Computational Fluid Dynamics Analysis in Biomimetic Applications for Underwater Vehicles

Zhang,

Wang,

Zhang

2024

Biomimetics

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“…The arrangement of the sensor array significantly impacts the effectiveness of information gathering [14], with one crucial factor being the distance between adjacent sensors, influencing the dimensions of the entire ALL system. Clearly, a larger sensor distance results in more distinctive information, enhancing the richness of acquired data with the same quantity of sensors.…”

Section: Impact Of Sensing Region Sizementioning

confidence: 99%

“…However, they serve to bridge the gaps between adjacent cubic configurations, providing a more detailed characterization of the trend in prediction error with varying sensor quantities. Evidently, a higher quantity of sensors affords a more comprehensive information pool, thereby favoring the predictive capabilities of the prediction network [14]. However, this advantage is accompanied by a significant escalation in the cost and intricacy of array design [2].…”

Section: Impact Of Sensor Quantitymentioning

confidence: 99%

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Real-time position and pose prediction for a self-propelled undulatory swimmer in 3D space with artificial lateral line system

Liu,

Ding,

Xie

2024

Bioinspir. Biomim.

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This study aims to investigate the feasibility of using an Artificial Lateral Line system for predicting the real-time position and pose of an undulating swimmer with Carangiform swimming patterns. We established a 3D Computational Fluid Dynamics simulation to replicate the swimming dynamics of a freely swimming mackerel under various motion parameters, calculating the corresponding pressure fields. Using the simulated lateral line data, we trained an artificial neural network to predict the centroid coordinates and orientation of the swimmer. A comprehensive analysis was further conducted to explore the impact of sensor quantity, distribution, noise amplitude and sampling intervals of the Artificial Lateral Line array on predicting performance. Additionally, to quantitatively assess the reliability of the localization network, we trained another neural network to evaluate error magnitudes for different input signals. These findings provide valuable insights for guiding future research on mutual sensing and schooling in underwater robotic fish.

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Underwater source localization using a distributed composite artificial lateral line system with pressure and active electric sensing fusion

Fu,

Hu,

Jiang

et al. 2025

Mechanical Systems and Signal Processing

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The relative perception system of underwater bionic vehicles based on the artificial lateral line pressure sensor array

Cited by 5 publications

References 28 publications

Review of Computational Fluid Dynamics Analysis in Biomimetic Applications for Underwater Vehicles

Review of Computational Fluid Dynamics Analysis in Biomimetic Applications for Underwater Vehicles

Real-time position and pose prediction for a self-propelled undulatory swimmer in 3D space with artificial lateral line system

Underwater source localization using a distributed composite artificial lateral line system with pressure and active electric sensing fusion

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