MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft

This paper develops a novel state-tracking multivariable model reference adaptive control (MRAC) technique utilizing prior knowledge of plant models to recover control performance of an asymmetric structural damaged aircraft. A modification of linear model representation is given. With prior knowled...

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Main Authors: Xieyu Xu, Lingyu Yang, Jing Zhang
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2015/247301
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author Xieyu Xu
Lingyu Yang
Jing Zhang
author_facet Xieyu Xu
Lingyu Yang
Jing Zhang
author_sort Xieyu Xu
collection DOAJ
description This paper develops a novel state-tracking multivariable model reference adaptive control (MRAC) technique utilizing prior knowledge of plant models to recover control performance of an asymmetric structural damaged aircraft. A modification of linear model representation is given. With prior knowledge on structural damage, a polytope linear parameter varying (LPV) model is derived to cover all concerned damage conditions. An MRAC method is developed for the polytope model, of which the stability and asymptotic error convergence are theoretically proved. The proposed technique reduces the number of parameters to be adapted and thus decreases computational cost and requires less input information. The method is validated by simulations on NASA generic transport model (GTM) with damage.
format Article
id doaj-art-8e5d3b6dabdc4e39a5b3223c77ba4cd0
institution Kabale University
issn 2356-6140
1537-744X
language English
publishDate 2015-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-8e5d3b6dabdc4e39a5b3223c77ba4cd02025-08-20T03:37:15ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/247301247301MRAC Control with Prior Model Knowledge for Asymmetric Damaged AircraftXieyu Xu0Lingyu Yang1Jing Zhang2CNIGC Institution of Navigation and Control, Chedaogou No. 10, Haidian District, Beijing 100191, ChinaDepartment of Automation Science and Electrical Engineering, Beihang University, Haidian District, Beijing 100191, ChinaDepartment of Automation Science and Electrical Engineering, Beihang University, Haidian District, Beijing 100191, ChinaThis paper develops a novel state-tracking multivariable model reference adaptive control (MRAC) technique utilizing prior knowledge of plant models to recover control performance of an asymmetric structural damaged aircraft. A modification of linear model representation is given. With prior knowledge on structural damage, a polytope linear parameter varying (LPV) model is derived to cover all concerned damage conditions. An MRAC method is developed for the polytope model, of which the stability and asymptotic error convergence are theoretically proved. The proposed technique reduces the number of parameters to be adapted and thus decreases computational cost and requires less input information. The method is validated by simulations on NASA generic transport model (GTM) with damage.http://dx.doi.org/10.1155/2015/247301
spellingShingle Xieyu Xu
Lingyu Yang
Jing Zhang
MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft
The Scientific World Journal
title MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft
title_full MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft
title_fullStr MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft
title_full_unstemmed MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft
title_short MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft
title_sort mrac control with prior model knowledge for asymmetric damaged aircraft
url http://dx.doi.org/10.1155/2015/247301
work_keys_str_mv AT xieyuxu mraccontrolwithpriormodelknowledgeforasymmetricdamagedaircraft
AT lingyuyang mraccontrolwithpriormodelknowledgeforasymmetricdamagedaircraft
AT jingzhang mraccontrolwithpriormodelknowledgeforasymmetricdamagedaircraft