Research on Underwater Triangle Source Sensing Method Based on the Lateral Line Sensing Mechanism

doi:10.3901/JME.2020.12.240

Abstract

Abstract: In order to improve the environment adaptive ability of autonomous underwater vehicle (AUV), a method of form recognition and position location of underwater target is studied based on the lateral line sensing mechanism. The flow field structure of equilateral triangle is studied by numerical simulation. The pressure signal on the "lateral line" is extracted as identification information. And a support vector machine (SVM) recognition model is trained and established based on the data. The penalty factor and a kernel function parameter in SVM model is determined by two-step network method. The model test shows that the form of targets can be identified based on the pressure coefficient. The relative detection distance is analyzed and fitted by extracting the characteristic values of pressure coefficient waveform. The results show that the relative position of target can be calculated effectively based on the pressure amplitude. Therefore, it is proved that the pressure signal and SVM can be used to identify and locate underwater targets. The method provides a new idea for improving AUV environment adaptive ability.

Key words: lateral line system, support vector machine, flow sensing, numerical simulation, target recognition

CLC Number:

TG156

LIN Xinghua, WU Jianguo, WANG Xiaoming, ZHANG Minge, LIU Haitao. Research on Underwater Triangle Source Sensing Method Based on the Lateral Line Sensing Mechanism[J]. Journal of Mechanical Engineering, 2020, 56(12): 240-248.

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