A multivariable adaptive control scheme for automatic carrier landing of UAV

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...

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Bibliographic Details
Published inAerospace science and technology Vol. 92; pp. 714 - 721
Main Authors Zhen, Ziyang, Tao, Gang, Yu, Chaojun, Xue, Yixuan
Format Journal Article
LanguageEnglish
Published Elsevier Masson SAS 01.09.2019
Subjects
Adaptive control
Automatic carrier landing system
Flight control
Unmanned aerial vehicle
Unmanned aerial vehicle
Flight control
Adaptive control
Automatic carrier landing system
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Summary: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.
ISSN:1270-9638
1626-3219
DOI:10.1016/j.ast.2019.06.030