배열 압력 센서와 인공신경망을 이용한 수중이동체 상태 추정

Abstract

In this study, we present the results of estimating the motion state of an underwater vehicle by applying a feed-forward artificial neural network to the array pressure sensor fixed on the surface of the underwater vehicle. The algorithm was tested using numerical analysis data generated using the computational fluid dynamics program, and the results show that the motion state variables of velocity, drift angle, and yaw rate can be estimated using the pressure sensor data with the proposed neural network algorithm.