Motion control of an AUV using a neural network adaptive controller

被引：5

作者：

Li, JH ^{[1
]}

Lee, PM ^{[1
]}

Lee, SJ ^{[1
]}

机构：

[1] KORDI, Korea Res Inst Ships & Ocean Engn, Yusong Gu, Taejon 305343, South Korea

来源：

PROCEEDINGS OF THE 2002 INTERNATIONAL SYMPOSIUM ON UNDERWATER TECHNOLOGY | 2002年

关键词：

neural network; functional approximation; adaptive control; sliding mode control; AUVs;

D O I：

10.1109/UT.2002.1002429

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

This paper presents a neural network adaptive controller for autonomous underwater vehicles (AUVs). A linearly parameterized neural network (LPNN) is used to approximate the nonlinear uncertainties of AUVs' dynamics, where the basis function vector of LPNN is constructed according to the physical properties of AUVs, A sliding mode control scheme is adopted to attenuate the effects of network's reconstruction errors and disturbances in AUV's dynamics. The asymptotic convergence of AUV's tracking errors and the stability of the presented control system are guaranteed on the basis of Lyapunov theory. Numerical simulation studies for motion control of an AUV are performed to illustrate the effectiveness of the proposed controller.

引用

页码：217 / 221

页数：5

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