title: MRAC Control with Prior Model Knowledge for Asymmetric Damaged Aircraft.
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.
authors.affiliation: CNIGC Institution of Navigation and Control, Chedaogou No. 10, Haidian District, Beijing 100191, China.
authors.forename: Xieyu
authors.initials: X
authors.lastname: Xu
authors.affiliation: Department of Automation Science and Electrical Engineering, Beihang University, Haidian District, Beijing 100191, China.
authors.forename: Lingyu
authors.initials: L
authors.lastname: Yang
authors.affiliation: Department of Automation Science and Electrical Engineering, Beihang University, Haidian District, Beijing 100191, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Zhang