Active sonar-based bottom-following for unmanned underwater vehicles

被引:20
|
作者
Caccia, M [1 ]
Bruzzone, G [1 ]
Veruggio, G [1 ]
机构
[1] CNR, Ist Automaz Navale, I-16149 Genoa, Italy
关键词
underwater vehicles; range sensing; motion estimation; extended Kalman filters; guidance systems; active sensing;
D O I
10.1016/S0967-0661(98)00168-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of high-precision bottom-following in the proximity of the seabed for open-frame unmanned underwater vehicles (UUVs) is addressed in this paper. The suggested approach consists of the integration of a guidance and control system with an active multi-hypothesis extended Kalman filter, able to estimate the motion of the vehicle with respect to the bottom profile. The guidance module is based on the definition of a suitable Lyapunov function associated with the bottom-following task, while the motion controller is a conventional autopilot, performing autoheading, autodepth, and autospeed. The motion of the vehicle is estimated from range and bearing measurements supplied by a high-frequency pencil-beam profiling sonar. Moreover, a general-purpose sensor-based guidance and control system for advanced UUVs, able to manage active sensing-based guidance and motion estimation modules, is presented. An application of the proposed architecture to execute high-precision bottom-following using Romeo, a prototype UUV, developed by the Robotics Dept. of the Istituto Automazione Navale, is described. Experimental results of tests, conducted in a high-diving pool with the vehicle equipped with a sonar profiler; are presented. (C) 1999 Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:459 / 468
页数:10
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