Multivariable Adaptive Control of NASA Generic Transport Aircraft Model with Damage

摘要

This paper develops a linearization-based adaptive control technique for control of the nonlinear NASA Generic Transport Model with large parametric and structural uncertainties caused by damage. It presents new studies of linearization of the nonlinear aircraft dynamics in the presence of damage. A state-feedback multivariable model reference adaptive control scheme is developed for the linearized aircraft model with damage to ensure stability and asymptotic output tracking for aircraft in the presence of damage. The invariance characteristic of system infinity-zero structures of the nonlinear and linear system models is investigated. This work shows how a linearization-based model reference adaptive control scheme using state feedback can be applied to a nonlinear aircraft dynamic system with damage, and the control system simulation of the Generic Transport Model demonstrates some desired performance of such a control system in the neighborhood of the chosen operating point