Simulation research in water condition recognition method based on fish lateral line sensing mechanism

Abstract

Based on fish lateral line sensing mechanism, integrated fluid dynamics, boundary layer theory and coupling theory were used to establish a neural network model similar to the fish neuromas model. By simulating fish lateral line system numerically, the results provide guidelines applying to autonomous underwater vehicle (AUV) navigation and target location. A new method for AUV navigation and environment perception is provided. Simulation results show that based on the sensing mechanism of fish lateral line, a perception model is built to help AUV identify a new water condition distinguishably. This discovery can be used in navigation and positioning of AUV.