Nonlinear adaptive control of an underwater towed vehicle

被引:32
|
作者
Teixeira, Francisco Curado [1 ,2 ]
Aguiar, Antonio Pedro [3 ,4 ]
Pascoal, Antonio [3 ,4 ]
机构
[1] Univ Aveiro, Ctr Environm & Marine Studies, P-3810193 Aveiro, Portugal
[2] Univ Aveiro, Dept Geosci, P-3810193 Aveiro, Portugal
[3] Inst Syst & Robot, P-1049001 Lisbon, Portugal
[4] Inst Super Tecn, Dept Elect Engn, P-1049001 Lisbon, Portugal
关键词
Nonlinear control; Adaptive control; Lyapunov methods; Trajectory tracking; Underwater; Towed vehicle; SYSTEM; DYNAMICS; MODEL;
D O I
10.1016/j.oceaneng.2010.05.010
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper addresses the problem of simultaneous depth tracking and attitude control of an underwater towed vehicle. The system proposed uses a two-stage towing arrangement that includes a long primary cable, a gravitic depressor, and a secondary cable. The towfish motion induced by wave driven disturbances in both the vertical and horizontal planes is described using an empirical model of the depressor motion and a spring-damper model of the secondary cable. A nonlinear, Lyapunov-based, adaptive output feedback control law is designed and shown to regulate pitch, yaw, and depth tracking errors to zero. The controller is designed to operate in the presence of plant parameter uncertainty: When subjected to bounded external disturbances, the tracking errors converge to a neighbourhood of the origin that can be made arbitrarily small. In the implementation proposed, a nonlinear observer is used to estimate the linear velocities used by the controller thus dispensing with the need for costly sensor suites. The results obtained with computer simulations show that the controlled system exhibits good performance about different operating conditions when subjected to sea-wave driven disturbances and in the presence of sensor noise. The system holds promise for application in oceanographic missions that require depth tracking or bottom-following combined with precise vehicle attitude control. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1193 / 1220
页数:28
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