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This paper studies some key technical issues of discrete-time adaptive control of a continuous-time nonlinear aircraft flight system with uncertain structural damage. A linearized discrete-time aircraft model with a dynamics offset is obtained from the discretized nonlinear aircraft model, which characterizes large unknown system parametric and structural changes caused by structural damage. The invariance...
This paper studies the discrete-time multivariable model reference adaptive control (MRAC) design for discrete-time linearized aircraft systems under damage conditions. A discrete-time sequential linear system with uncertain parameters and an unknown dynamics offset is used to model the large uncertain system parametric and structural changes caused by damage. The invariance properties of the two...
This paper studies the multivariable model reference adaptive control (MRAC) design for aircraft systems under simultaneous actuator failures and airframe damage. A modeling study of the aircraft under failure and damage conditions is conducted, which captures the key characteristics of the aircraft dynamics under such hazardous conditions. The key design conditions for the multivariable MRAC design...
Aircraft damage causes large uncertain system parametric and structural changes which lead to unknown deviations of the aircraft equilibrium points and unknown coupling of the aircraft dynamics. To deal with such unknown changes, we use a sequential linear model with a dynamics offset to represent a linearized aircraft system before and after damage. A state feedback multivariable model reference...
This paper develops a multivariable model reference adaptive control (MRAC) scheme for multi-input multi-output LTI systems with parameterized sensor uncertainties. Adaptive compensation of sensor uncertainties is incorporated with a feedback control law. An sensor uncertainty compensator is designed to estimate the actual system signals which are not available because of sensor uncertainties, and...
This paper revisits the multivariable MRAC problem, by studying adaptive state feedback control for output tracking of multi-input and multi-output (MIMO) systems. With such a control scheme, the plant-model matching condition is much less restrictive than those for state tracking, while the controller enjoys a simpler structure than that of an output feedback design with the guarantee of the asymptotic...
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