Aircraft landing control design based on artificial life and CMACs

Abstract

This paper presents the use of different artificial life-based optimization algorithms and cerebellar model articulation controllers (CMACs) in aircraft automatic landing control. The proposed intelligent control system can act as an experienced pilot and guide the aircraft landed safely in wind disturbance condition. Lyapunov theory is applied to obtain adaptive learning rule and stability analysis is also provided. The proposed controllers have better performance than conventional controller.