Robust Preview Control and Autoregressive Prediction for Aircraft Automatic Carrier Landing

Abstract

This paper studies an automatic carrier landing control problem of fixed-wing aircraft with system uncertainties under the airwake and deck motion disturbances. A robust preview control scheme and an autoregressive (AR) model prediction scheme are originally applied to the automatic carrier landing system (ACLS). The AR model is used to predict the deck motion, which corrects the reference glide slope for relative motion compensation. A novel robust preview control scheme based on the linear matrix inequality (LMI) is proposed for the uncertain nonlinear systems with external disturbances, to make the aircraft track the corrected reference glide slope and reject the airwake disturbance. Simulation results exhibit the better carrier landing performance of the robust preview control scheme than the PID control and robust control schemes.