Generic wind estimation and compensation based on NLGA and RBF-NN

This paper proposes a solution to the aircraft control problem during landing phases in presence of microburst wind shear. This work addresses the design of an adaptive controller which, exploiting the wind estimation provided by suitable filters, improves the flight safety and is able to accomplish the final approach phase even in presence of wind shear. The adaptive controller has been designed by using a backstepping approach and a feedback linearization for time–varying systems. The wind components are estimated by adaptive filters designed by using the tools of both the nonlinear geometric approach and the radial basis function neural network.