Abstract

In nature, the lateral line of fish is a peculiar and important organ for sensing the surrounding hydrodynamic environment, preying, escaping from predators and schooling. In this paper, by imitating the mechanism of fish lateral canal neuromasts, we developed an artificial lateral line system composed of micro-pressure sensors. Through hydrodynamic simulations, an optimized sensor structure was obtained and the pressure distribution models of the lateral surface were established in uniform flow and turbulent flow. Carrying out the corresponding underwater experiment, the validity of the numerical simulation method is verified by the comparison between the experimental data and the simulation results. In addition, a variety of effective research methods are proposed and validated for the flow velocity estimation and attitude perception in turbulent flow, respectively and the shape recognition of obstacles is realized by the neural network algorithm.

Highlights

  • Most fishes are dependent on the lateral organs to detect their surrounding environment, track moving targets and avoid obstacles [1]

  • We focused on the bionics analysis rather than mathematics

  • 7.InConclusions this paper, a cylindrical artificial lateral-line carrier combined with biomechanics, bionics, 7

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Summary

Introduction

Most fishes are dependent on the lateral organs to detect their surrounding environment, track moving targets and avoid obstacles [1]. Many researchers have carried out detailed studies about artificial lateral-line sensor’s design, fabrication and optimization [5]. They have developed different sensing systems, conducted parametric underwater experiments and established related algorithms [6]. Topromote promotethe theapplication application of of the the artificial lateral-line asunderwater underwater vehicles, a cylindrical carrier was utilized a main research object in this paper. The optimal sensor distribution for the design of artificial lateral-line system. The artificial lateral line system combined features of SNs and CNs. Miniature pressure sensors are arranged on the surface of the carrier and the flow field characteristics are obtained by the surrounding pressure field. All the experiments are carried out in uniform flow or regular non-uniform flow (Karman vortex streets)

Optimal Topology of Sensors
Obstacle Sensing Algorithm Based on Simulation
Simulation of Static Obstacle
Simulation
Simulation of Moving Carrier
Simulation of Moving
Simulation of Vibrating Obstacle
Experiments of Artificial Lateral Line
Design
Underwater Experiments
Experimental Analysis of Artificial Lateral Line
Hydrostatic
Velocity Estimation
Method
Obstacle Identification
Findings
Conclusions
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