A multivariable MRAC scheme with application to a nonlinear aircraft model

被引：54

作者：

Guo, Jiaxing ^{[1
]}

Tao, Gang ^{[1
]}

Liu, Yu ^{[2
]}

机构：

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

[2] Cummins Tech Ctr, Columbus, IN 47201 USA

来源：

AUTOMATICA | 2011年 / 47卷 / 04期

关键词：

Adaptive systems; Multivariable model reference adaptive control; State feedback; Output tracking; Nonlinear aircraft model; ADAPTIVE-CONTROL; SYSTEMS;

D O I：

10.1016/j.automatica.2011.01.069

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper revisits the multivariable model reference adaptive control (MRAC) problem, by studying adaptive state feedback control for output tracking of multi-input multi-output (MIMO) systems. With such a control scheme, the plant-model matching conditions are much less restrictive than those for state tracking, while the controller has a simpler structure than that of an output feedback design. Such a control scheme is useful when the plant-model matching conditions for state tracking cannot be satisfied. A stable adaptive control scheme is developed based on LDS decomposition of the high-frequency gain matrix, which ensures closed-loop stability and asymptotic output tracking. A simulation study of a linearized lateral-directional dynamics model of a realistic nonlinear aircraft system model is conducted to demonstrate the scheme. This linear design based MRAC scheme is subsequently applied to a nonlinear aircraft system, and the results indicate that this linearization-based adaptive scheme can provide acceptable system performance for the nonlinear systems in a neighborhood of an operating point. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：804 / 812

页数：9

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