A multivariable adaptive control scheme for automatic carrier landing of UAV

被引：48

作者：

Zhen, Ziyang ^{[1
]}

Tao, Gang ^{[2
]}

Yu, Chaojun ^{[1
]}

Xue, Yixuan ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 211106, Jiangsu, Peoples R China

[2] Univ Virginia, Dept Elect & Comp Engn, Charlottesville, VA 22904 USA

来源：

AEROSPACE SCIENCE AND TECHNOLOGY | 2019年 / 92卷

基金：

中国国家自然科学基金;

关键词：

Unmanned aerial vehicle; Automatic carrier landing system; Adaptive control; Flight control; RECOVERY; DESIGN; SYSTEM;

D O I：

10.1016/j.ast.2019.06.030

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

This paper studies a multivariable model reference adaptive control (MRAC) scheme for the automatic carrier-landing control problem of unmanned aerial vehicles (UAVs) with system dynamics of nonlinearity, multivariable coupling and parametric uncertainty. A complete automatic carrier landing system (ACLS) for carrier-based UAVs is developed, which consists of a guidance subsystem and a flight control subsystem. The MRAC scheme is based on a state feedback for output tracking framework with relaxed design conditions, which guarantees the reference glide slope tracking. Simulation results of a nonlinear UAV model demonstrate that the multivariable MRAC based ACLS has a better carrier-landing performance than a fixed control based ACLS. (C) 2019 Elsevier Masson SAS. All rights reserved.

引用

页码：714 / 721

页数：8

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