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.
This paper discusses the scheme and design method for UCAV autonomous/semi-autonomous control system. According to the investigation of the traditional tactical flight maneuvers and the existing air combat simulators, a missionoriented control scheme is proposed to fulfill the autonomous/ semi-autonomous requirements. A library including 9 maneuvers is designed by which complex tasks could be formed. And base on the flight mechanics, a control structure of line motion-angular motion is proposed to simplify the implementation of flight maneuvers. Finally, the proposed method is validated through simulations of a nonlinear six degrees of freedom UAV model.
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