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.

Key words: autonomous underwater vehicle, computer simulation., water condition recognition, fish lateral line