Hybrid intelligent aircraft landing controller and its hardware implementation

Abstract

The purpose of this paper is to investigate the use of hybrid intelligent control to aircraft automatic landing system. Current flight control law is adopted in the intelligent controller design. Tracking performance and adaptive capability are demonstrated through software simulations. Two control schemes that use neural network controller and neural controller with particle swarm optimization are used to improve the performance of conventional automatic landing system. Control gains are selected by particle swarm optimization. Hardware implementation of this intelligent controller is performed by DSP with VisSim platform. The proposed intelligent controllers can successfully expand the controllable environment in severe wind disturbances.