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The Scientific World Journal
Volume 2015 (2015), Article ID 247301, 10 pages
http://dx.doi.org/10.1155/2015/247301
Research Article

MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft

1CNIGC Institution of Navigation and Control, Chedaogou No. 10, Haidian District, Beijing 100191, China
2Department of Automation Science and Electrical Engineering, Beihang University, Haidian District, Beijing 100191, China

Received 16 November 2014; Accepted 8 December 2014

Academic Editor: Kemao Peng

Copyright © 2015 Xieyu Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.