A neural network baseline problem for control of aircraft flare and touchdown
Neural networks for control
Swarm intelligence
The Fuzzy Model for Aircraft Landing Control
AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
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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.